Jobs at Linkedin

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

We are looking for a Large Enterprise Account Director to join our team as a trusted adviser with a relentless focus on bringing value to our customers within the Enterprise sector. You will be responsible for helping our customers effectively engage with our solutions (Talent & Learning). You will be dedicated to making our customers stronger and seeking out opportunities for growth. Although you possess a strategic approach to selling and strive to meet/exceed revenue goals, you will always have your clients’ best interest in mind and act as their internal advocate to ensure they are set up for success.

Responsibilities

• ResearchesCustomer’s business and prepares thoughtful questions and insights in advance of customermeetings

• Asks layered, open-ended questions to understand and clarify Customer’s objectives and challenges beyond surface-leveldetail

• Builds relationships with multiple stakeholders (vertically and horizontally) across the Customer’sorganization

• Shifts communication style and content to fit the needs of differentstakeholders

• Leads with Solutions, not products, when making recommendations aligned to Customer objectives

• Sells with Integrity

• Drives customer decision making by achieving shared vision and proactively considering the value props that tie all stakeholderstogether

• Thinks commercially and applies business acumen when crafting & negotiating commercialagreements

• Usesdata and insights to support investment recommendations or overcome customerobjections

• Proactively mitigates churn risk by adopting a smart, customer-centricapproach

• Engages customersthroughout to confirm and clarify value and adaptsastrategy when needed to optimizeROI

• Drives Customer growth by proactively identifying opportunities to deliver greater customervalue

• Applies business acumen in Account Planning by considering economic, industry, and company factors with aCustomer-centric lens.

• Maps all key stakeholders in an account to assess the strength of the account relationship and create account outreachstrategy

• Agrees to joint accountability with colleagues and cross-functional teams for optimal customersuccess

• Practices humility and asks for help from colleagues when faced with a challenge orunknown

• Is disciplined in Territory and Account Planning, Forecasting, and Quota Attainment

• Follows best practices when using CRM and other Sales tools in order to manage the Sales and Buyer cycles

Qualifications

Basic Qualifications

• 8+ years of applicable sales experience

Preferred Qualifications

• Experience with HR software

• BA/BS degree or equivalent in a related field

• Experience with SaaS opportunities and Salesforce.com platform

• Experience selling ITsolutions

• Knowledge of software contract terms and conditions with the ability to create fairtransactions

• Strong negotiation and accurate forecasting skills

• Experience carrying a revenue target with the ability to develop compelling strategies that deliverresults

• Excellent communication, negotiation and forecasting skills

• Demonstrated ability to find and manage high-level business in anevangelistic salesenvironment

• Ability to gather and use data to inform decision making and persuadeothers

• Ability to assess business opportunities and read prospectivebuyers

• Ability to orchestrate the closure of business with an accurate understanding of prospectneeds

• Ability to include multiple partners and members of the company management team using competitive selling to position company products against direct and indirectcompetitors

Suggested Skills

• Negotiation

• Communication

• Persuasion

LinkedIn is committed to fair and equitable compensation practices.

The range of expected compensation for this position is $244,000 up to $294,000 CAD OTE, which includes potential compensation under non-discretionary annual performance bonus and/or other applicable incentive compensation plans. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location, and may be subject to the terms and conditions of various applicable plans and policies. Actual compensation packages may be different in other locations due to differences in the cost of labor.

This position may also include stock grants and/or benefits. For more information, visit https://careers.linkedin.com/benefits.

We may record and transcribe interviews for this role with AI assisted technology. Candidates will be notified in advance and given the opportunity to opt out of the interview recording. Your decision to participate or decline will not impact your eligibility for hire. To learn more about LinkedIn's use of interview intelligence technologies, please visit our candidate portal: https://www.linkedin.com/legal/candidate-portal

Additional Information

Global Data Privacy Notice and Compliance Posters for Job Candidates

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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Do you enjoy connecting people, projects, and business needs? Are you energized by fast-paced environments where priorities shift quickly and no two days look the same?

Join Artefact, a global data and AI consulting firm helping organizations turn data into business impact. With 2,000+ employees across 34 offices worldwide, we partner with leading organizations such as Samsung, L'Oréal, and LVMH to accelerate digital transformation through data and AI.

As Artefact continues to grow across the US and Canada, we're looking for a Resource Manager to help support and evolve our resource management function.

In this role, you'll help ensure the right consultants and engineers are aligned to the right opportunities at the right time while balancing client needs, consultant development, utilization goals, and business priorities. Resource management at Artefact extends beyond day-to-day staffing and sits at the intersection of project delivery, employee experience, recruiting, workforce planning, learning and development, and business operations.

You'll serve as a key partner to consultants, project teams, chapter leads, and recruiting while helping shape the processes, systems, and workforce strategies that support our continued growth. You'll also contribute to broader talent deployment initiatives, including workforce planning, consultant development, onboarding and transitions, and talent and performance discussions.

What You'll Do

• Own and execute the end-to-end staffing process, strategically aligning consultants to client engagements based on skills, experience, availability, career goals, project requirements, and business needs.
• Monitor consultant capacity, utilization, project demand, potential extensions, consultant roll-offs, and resource allocation to proactively identify staffing risks, support project health, and anticipate future hiring needs.
• Partner with project and engagement leads to understand staffing requirements, including project scope, timelines, budgets, staffing continuity, and required skills.
• Manage competing staffing priorities while balancing client needs, consultant development, utilization targets, project requirements, and overall business objectives.
• Respond to shifting priorities and time-sensitive staffing needs with a strong sense of urgency, ensuring staffing gaps, conflicts, and resource constraints are addressed quickly and proactively.
• Maintain consultant and technical team one-pagers, skills inventories, and other resource data to ensure information remains accurate, current, and actionable.
• Maintain staffing and resource management systems, ensuring assignments, staffing requests, consultant profiles, and resource data remain accurate and up to date.
• Generate, analyze, and report on key resource management metrics, including utilization, bench time, staffing trends, billable hour forecasts, forecast accuracy, and other operational indicators that support business planning and staffing decisions.
• Partner with recruiting, chapter leads, and Finance to support workforce planning, identify future hiring needs, and ensure the organization has the skills and capabilities needed to meet current and anticipated business demands.
• Contribute to talent and performance discussions by providing insights into consultant utilization, project experience, skills, and development opportunities while supporting consultant onboarding and project transitions.
• Own and enforce staffing processes to ensure consistency, data integrity, and adherence across teams while continuously identifying opportunities to improve workflows, systems, reporting, and forecasting.

What You'll Bring

• 3-5+ years of experience in resource management, staffing, workforce planning, or a related operations role
• Experience working in a consulting, agency, technology services, legal, accounting, or other professional services environment
• Proven experience coordinating resources across multiple projects, teams, and competing business priorities
• Experience with workforce forecasting, capacity planning, utilization reporting, and resource management methodologies
• Strong analytical skills and the ability to use data and business context to support staffing recommendations and resource allocation decisions
• Strong stakeholder management and influencing skills, with the ability to build relationships and drive alignment across teams without direct authority
• Strong organizational and time management skills, with the ability to manage multiple priorities in a fast-paced environment
• Experience working with reporting tools and resource management systems
• Professionalism, discretion, sound judgment, and a proactive, solutions-oriented mindset with a strong sense of urgency
• Bachelor's degree in Human Resources, Business, Psychology, Communications, or a related field preferred. Equivalent professional experience will also be considered.

Why you should join us

We are united by our values and strengthened by our hybrid expertise.

• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

#J-18808-Ljbffr

Do you enjoy connecting people, projects, and business needs? Are you energized by fast-paced environments where priorities shift quickly and no two days look the same?

Join Artefact, a global data and AI consulting firm helping organizations turn data into business impact. With 2,000+ employees across 34 offices worldwide, we partner with leading organizations such as Samsung, L'Oréal, and LVMH to accelerate digital transformation through data and AI.

As Artefact continues to grow across the US and Canada, we're looking for a Resource Manager to help support and evolve our resource management function.

In this role, you'll help ensure the right consultants and engineers are aligned to the right opportunities at the right time while balancing client needs, consultant development, utilization goals, and business priorities. Resource management at Artefact extends beyond day-to-day staffing and sits at the intersection of project delivery, employee experience, recruiting, workforce planning, learning and development, and business operations.

You'll serve as a key partner to consultants, project teams, chapter leads, and recruiting while helping shape the processes, systems, and workforce strategies that support our continued growth. You'll also contribute to broader talent deployment initiatives, including workforce planning, consultant development, onboarding and transitions, and talent and performance discussions.

What You'll Do

• Own and execute the end-to-end staffing process, strategically aligning consultants to client engagements based on skills, experience, availability, career goals, project requirements, and business needs.
• Monitor consultant capacity, utilization, project demand, potential extensions, consultant roll-offs, and resource allocation to proactively identify staffing risks, support project health, and anticipate future hiring needs.
• Partner with project and engagement leads to understand staffing requirements, including project scope, timelines, budgets, staffing continuity, and required skills.
• Manage competing staffing priorities while balancing client needs, consultant development, utilization targets, project requirements, and overall business objectives.
• Respond to shifting priorities and time-sensitive staffing needs with a strong sense of urgency, ensuring staffing gaps, conflicts, and resource constraints are addressed quickly and proactively.
• Maintain consultant and technical team one-pagers, skills inventories, and other resource data to ensure information remains accurate, current, and actionable.
• Maintain staffing and resource management systems, ensuring assignments, staffing requests, consultant profiles, and resource data remain accurate and up to date.
• Generate, analyze, and report on key resource management metrics, including utilization, bench time, staffing trends, billable hour forecasts, forecast accuracy, and other operational indicators that support business planning and staffing decisions.
• Partner with recruiting, chapter leads, and Finance to support workforce planning, identify future hiring needs, and ensure the organization has the skills and capabilities needed to meet current and anticipated business demands.
• Contribute to talent and performance discussions by providing insights into consultant utilization, project experience, skills, and development opportunities while supporting consultant onboarding and project transitions.
• Own and enforce staffing processes to ensure consistency, data integrity, and adherence across teams while continuously identifying opportunities to improve workflows, systems, reporting, and forecasting.

What You'll Bring

• 3-5+ years of experience in resource management, staffing, workforce planning, or a related operations role
• Experience working in a consulting, agency, technology services, legal, accounting, or other professional services environment
• Proven experience coordinating resources across multiple projects, teams, and competing business priorities
• Experience with workforce forecasting, capacity planning, utilization reporting, and resource management methodologies
• Strong analytical skills and the ability to use data and business context to support staffing recommendations and resource allocation decisions
• Strong stakeholder management and influencing skills, with the ability to build relationships and drive alignment across teams without direct authority
• Strong organizational and time management skills, with the ability to manage multiple priorities in a fast-paced environment
• Experience working with reporting tools and resource management systems
• Professionalism, discretion, sound judgment, and a proactive, solutions-oriented mindset with a strong sense of urgency
• Bachelor's degree in Human Resources, Business, Psychology, Communications, or a related field preferred. Equivalent professional experience will also be considered.

Why you should join us

We are united by our values and strengthened by our hybrid expertise.

• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

#J-18808-Ljbffr

About Artefact

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.

We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions.

As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption.

The Role

Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production.

You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works.

This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication.

You will work closely with our clients, with direct exposure from the start, and you will support the professional development of the engineers around you.

What You'll Do

Build Full-Stack AI Applications, End to End

You will build AI products across the entire stack, from interface to infrastructure.

• Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node.
• Implement agentic behavior: orchestration, tool and function calling, memory, and guardrails.
• Build retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid search.
• Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP.

Go Deep on Gemini Enterprise and the Google AI Stack

You will be the team's reference for Google's enterprise AI platform.

• Design and build agents with Gemini models, Vertex AI, the Agent Development Kit (ADK), and Agent Engine.
• Implement and configure Gemini Enterprise for clients: Agent Designer for natural-language and trigger-based agents, the Inbox for managing long-running agents at scale, and agent sandboxes for autonomous problem-solving.
• Connect Gemini Enterprise to the client's application landscape through first-party and partner connectors, with proper permissions, governance, and auditability.
• Build grounded, retrieval-backed applications with Vertex AI Search and RAG Engine, grounding with Google Search, and BigQuery as the data backbone.
• Implement agent interoperability through the A2A protocol and MCP.
• Track Google's releases closely and translate new capabilities into client value quickly.

Make AI Systems Production-Grade

Our standard is production quality: systems that are reliable, monitored, and maintainable.

• Write evaluation suites and regression tests for LLM-powered features, and monitor cost, latency, and quality in production.
• Apply solid engineering practice: version control, code review, automated testing, CI/CD, and observability.
• Deploy on cloud infrastructure (GCP, Azure, or AWS) using containers, serverless, and infrastructure-as-code.
• Build and maintain the data pipelines that feed AI systems, across warehouses, lakehouses, and vector stores.

Work AI-Natively and Client-Facing

Our engineers work AI-natively and represent Artefact directly with clients.

• Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment about verification and review.
• Communicate progress, trade-offs, and blockers clearly to clients and project leads.
• Support pre-sales when needed: scope solutions, build demos, and estimate effort with our partnership and consulting teams.
• Mentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards.

What We're Looking For

Required Experience

• 3–5 years of experience in software engineering or data engineering, with extensive hands‑on use of AI tools and LLM‑based development over the past year (professional projects, internal initiatives, or substantial personal builds).
• Strong hands‑on experience with the Google AI stack: Gemini models, Vertex AI, and ideally Gemini Enterprise or ADK — ideally with experience taking at least one solution to production on GCP.
• Experience with front-end development (React or similar) and at least one backend framework.
• Hands‑on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Google ADK, LangGraph/LangChain).
• Strong working experience with GCP; Azure or AWS is a plus.
• Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
• Experience building and maintaining data pipelines.
• Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications

A Google Cloud certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement — Artefact sponsors the exam and gives you time to prepare.

• Google Cloud Professional Machine Learning Engineer (preferred), covering Vertex AI, generative AI, and production ML.
• Google Cloud Generative AI Leader is valued as a foundation, complemented by hands‑on Vertex AI / Gemini Enterprise delivery experience.

Preferred Experience

• Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
• Experience with Terraform or CI/CD pipelines.
• Experience with GCP, BigQuery, or Google Workspace integrations alongside Gemini Enterprise.

Key Capabilities

A strong candidate will bring:

• Deep expertise in Gemini Enterprise and the Google AI stack, combined with breadth across the full stack
• Owns features end to end, from interface to infrastructure
• Cares about evaluation and reliability, not just the happy path
• Communicates clearly with clients in demos, documents, and code review
• Client-facing mindset: understands client needs and translates business requirements into technical solutions
• Learns new tools and models fast, and shares what works

Why Join Artefact

At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.

You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.

We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.

Our values aren't decorations on a wall — they're how we actually work:

• There is always a way— We're builders and problem-solvers. An idea only counts if it gets executed.
• Client trust is won in the field— We show up, sleeves rolled up, working side by side with our clients.
• If it's not used, it's useless— We build for adoption and impact, not for slide decks.
• If it's not shared, we're not done— Knowledge shared compounds. We invest in each other's growth.
• We learn every day— In a field that moves this fast, standing still means falling behind. We embrace the challenge.

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Artefact seeks a Senior Deployed AI Engineer in Montreal to design and deliver end-to-end AI products built on Gemini Enterprise and Vertex AI. You’ll own front-end interfaces, back-end services, data pipelines, deployment, and evaluation in client projects.

You’ll work across full stack, data engineering, and cloud infrastructure, collaborating with clients and mentoring peers while advancing production-ready AI systems.

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LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be based in Chicago or NYC. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As a Global Enablement Lead, you are responsible for driving high-impact, scalable field enablement solutions for the Global Business Organization, supporting our LinkedIn Sales Solutions business line. Solutions include go-to-market sales and customer success and services motions, skills development, product launches, in-person onboarding experiences and other key global business priorities. Responsibilities: Own the strategy, design, delivery, and continuous evolution of LinkedIn Sales Solutions' in-person onboarding experience, ensuring world-class new hire readiness through ongoing program optimization, stakeholder alignment, and quarter-over-quarter enhancements based on business priorities, learner feedback, and performance outcomes Act as lead subject matter enablement expert for large, complex, multi-quarter and multi-year sales initiatives requiring learning programs and change management to enable the field Work closely with partners within enablement (Learning Design, Sales Performance Consulting, Program Operations) and across the company (Product Marketing, Sales Operations, Pricing) to develop and recommend seamless, comprehensive enablement programs that are grounded in our core sales skills and are aligned to business goals Align all programs and initiatives with key business priorities and performance targets. Use analytically driven insights to evaluate, validate and optimize programs based on business impact Ensure effective change management and communication strategies are established across programs, including regionally, to ensure increased awareness and adoption, buy-in and engagement across the broader Enablement and Sales organizations. Communicate up and across, ensuring global leaders have awareness and understand impact of programs, and provide Sales Performance Consulting team members with the necessary tools to activate your programs across regions and segments Leverage AI and agentic technologies to streamline enablement planning, content development, workflow automation, and field activation, reducing friction and helping Sales and Customer Success teams work more efficiently in the flow of work. Basic Qualifications: 3+ years of experience leading complex multi-stakeholder enablement programs 5+ years of experience in related fields (Enablement, Onboarding, Sales, Sales Management, Consulting, or L&D) Preferred Qualifications: Leads with Operational Excellence: Creates clear priorities mapped back to business objectives, manages effectively under tight deadlines, and ensures clarity for all stakeholders.  Drives operational processes and structure through scoping, executing, reporting and analyzing program impact Leads Through Change: Successful record of leading organizational change. Experience leading change for sales preferred. Leads in Decentralized Environments: Previous leadership success in highly decentralized organizations, which require collaboration, consensus, and a high degree of influence to be successful. Demonstrates Business and Sales Acumen Extensive knowledge of B2B sales processes, skills, and tools to drive efficiency, effectiveness, predictability, and scalability Learning program design and management: Experience with the design and build of learning programs including exposure to creating learning objectives, learning experiences, and program management. Experience managing relationships and partnering with cross-functional teams to roll out large enablement programs at scale Brings Innovative and Creative Mindset: Experience in bringing creative, out-of-the-box solutions to drive innovative and engaging enablement programs that solve for the skill requirements needed in the most effective way. AI-Enabled Enablement Experience: Experience using AI, automation, and emerging agentic technologies to scale enablement, simplify field workflows, and drive behavior change tied to business outcomes. Suggested Skills: Strategic Enablement Planning & Delivery Cross-Functional Leadership Program and Project Management Sales and Business Acumen Creative Thinking & Innovation LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $117,000 to $190,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit  https://careers.linkedin.com/benefits. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be based in San Francisco, CA, Sunnyvale, CA, New York, NY, or Chicago, IL At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. The Tech & Analytics team builds the analytical and automation foundation that powers LinkedIn's most important Go-to-Market decisions. We partner across Sales, Customer Success, Marketing, and Engineering to create a unified understanding of GTM performance. Our mission is to transform data into proactive insights and intelligent systems that guide LinkedIn's growth and efficiency. We're hiring an AI Architect to design, build, and launch AI-powered features inside the business applications our employees use every day. You'll work as a product-minded software builder — turning LLMs, agents, and AI-driven automation into reliable, well-scoped features that meaningfully improve how our internal teams get work done. This is a hands-on builder role. You'll own features end-to-end: from problem framing and prototyping, through evaluation and rollout, to monitoring in production. You'll partner closely with product managers, data engineers, and platform teams to ship AI capabilities that are ready to support an enterprise sales organization. Responsibilities Define the technical roadmap and architecture for Technology & Product Operations org, including key decisions on frameworks, tooling, and practices. Partner with R&D to build applications leveraging our internal platforms, as well as provide input to R&D on enhancements to our technical platforms and data infrastructure  Lead the hands-on design, development, and deployment of scalable data products, AI/ML models (e.g., member friction, customer impact, anomaly detection), and GenAI-powered agentic workflows.  Serve as the subject matter expert on applying modern AI, LLMs, and ML techniques (e.g., RAG, fine-tuning) to solve GTM business problems within Enterprise Applications in partnership with Operations, Data Science and Engineering team  Design for quality and trust: define evaluation criteria, build active monitoring, implement safe use guardrails, and continuously measure AI feature performance against business outcomes.  Mentor operations and analytics colleagues on AI tooling and applications, setting a high bar for technical rigor, code quality, and engineering best practices through a lead-by-example approach.  Operate at scale and in production: instrument features to minimize latency and cost, maximize reliability and accuracy; debug failure modes; iterate based on real usage.  Collaborate with Product, Engineering, and Data Science teams to operationalize and scale models from prototype to production, ensuring reliability and measurable business impact.  Translate complex technical concepts and model outputs into clear, concise, and actionable narratives for non-technical stakeholders and senior leadership. Basic Qualifications Bachelor's degree in Computer Science, Engineering, or a related field, OR equivalent practical experience.  5+ years of professional software engineering experience building and maintaining production applications.  5+ years of experience building or contributing to enterprise or business applications (line-of-business tools, internal platforms, workflow systems, or similar).  1+ years of experience with GenAI technologies and frameworks (e.g., LangChain, LLM APIs).  1+ years of architecting, building, and deploying machine learning models and/or automated data solutions in production environments.  Preferred Qualifications Experience defining and applying AI evaluation strategies, prompt engineering techniques, and safety/guardrail patterns in real systems.  Strong knowledge of responsible AI practices: handling sensitive data, access control, PII, abuse mitigation, and human-in-the-loop patterns.  Experience with modern GenAI frameworks and tooling (e.g., LLM APIs, orchestration frameworks, agent frameworks, vector stores, RAG pipelines).  Experience operating software at scale — designing for reliability, performance, and cost in production.  Experience with observability, evaluation, and experimentation tooling for AI features (offline evals, online A/B testing, tracing, feedback loops).  Comfort working across the stack as needed (backend services, APIs, and front-end integration) to deliver a complete user experience.  Strong product instincts: a sense for what makes an AI feature genuinely useful versus merely impressive.  Experience with enterprise business applications including Salesforce, Tableau, Gong, and Pigment among others.  Suggested Skills Python  JavaScript  SQL  Machine Learning  Model Development & Deployment  LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $141,000 to $231,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit  https://careers.linkedin.com/benefits . Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance ​ Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement ​ As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

About You You’re a self-starter. You believe in tackling the most important problems, even if they are the most difficult problems. You’re comfortable with the unknown and understand that #startuplife means that you’re going to be wearing multiple hats. And that’s what motivates you. You’re accountable and obsessed with improvement, both in yourself and in others. You’re up to the challenge of building a world-class company that aims to be the infrastructure for more secure software for all. About the Company CertiK leads blockchain security by securing smart contracts and blockchains with cutting-edge Formal Verification technology. Founded by Computer Science professors of Yale University and Columbia University, CertiK has audited and secured over $500B in assets, including many of the world’s top blockchain projects. About the Role The primary responsibility of this role is for CertiK’s security-related services. Intersecting cybersecurity and blockchain, CertiK’s security offerings include security consulting, security reviews, security auditing of smart contracts and blockchains, verification of smart contracts, penetration testing, and more. As a Security Engineer at CertiK, you will contribute to the security offerings of the company, working with the rest of the security team to deliver the best products and services. You might engage directly with CertiK’s existing and future clients, participate in expanding security-related products and services, and follow the blockchain world on emerging security problems and trends. Compensation: If the role is performed in the US, the target annual compensation is $70,000 - $90,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. #blockchain #startups #hiring CertiK accepts applications for this position on an ongoing basis. CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf All CertiK employees are expected to actively support diversity on their teams, and in the Company. Responsibilities Official Account Operations: Manage the company's official LinkedIn page (planning, content, engagement) to drive brand influence and follower growth. Personal Account Matrix: Build and optimize the employee account matrix, establishing collaboration workflows for topic selection and publishing. Content Production: Create content around brand, reports, and executive insights; leverage AI tools to maximize efficiency and optimize content templates. Data Analysis: Track key metrics (impressions, growth, engagement) across all accounts to refine content strategies. Trend & Social Listening: Stay ahead of LinkedIn algorithm changes, industry trends, and brand mentions, providing timely insights for operational adjustments. Job Requirements Bachelor's degree or above, with 1–3 years of experience in LinkedIn platform operations. Experience in managing LinkedIn corporate pages and personal matrices; successful case studies preferred. Familiar with LinkedIn algorithms, content distribution logic, and growth strategies; able to execute independently. Familiar with global platforms like X, Facebook, and Telegram, with multi-platform management experience. Proficient in AI tools (ChatGPT, Claude, Gemini) for content creation and workflow efficiency. Strong data analysis capabilities to continuously optimize content performance based on metrics. Strong communication skills (both written and oral) Experience in B2B Tech, Cybersecurity, Fintech, or the Web3 industry is highly preferred.

Job Description

This role will be based in Bellevue, WA.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

This role is part of the Development infrastructure (DI) organization where you will get an opportunity to influence, transform, and create the next generation, agent centric, large scale, development infrastructure at LinkedIn. We are a data driven organization and you will lead strategic investments to make step function improvements in the lives of LinkedIn developers. This spans multiple areas including but not limited to: Providing tools and infrastructure that creates delightful development experiences for thousands of developers; Provide the environments where agents write, build, test, and publish code;  Provide actionable insights that leverages data and metrics; and most importantly, deliver reliable and scalable infrastructure. You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well.

Responsibilities

• Lead, coach and manage core team of engineers working on building the infrastructure.

• Participate with senior management in developing a long-term technology roadmap for the team and company.

• Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope.

• Communicate and collaborate effectively with stakeholders across engineering and business leadership.

• Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills.

• Drive a culture of operational excellence. Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time.

• Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality.

• You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs.

Job Description

This role will be based in Bellevue, WA.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

This role is part of the Development infrastructure (DI) organization where you will get an opportunity to influence, transform, and create the next generation, agent centric, large scale, development infrastructure at LinkedIn. We are a data driven organization and you will lead strategic investments to make step function improvements in the lives of LinkedIn developers. This spans multiple areas including but not limited to: Providing tools and infrastructure that creates delightful development experiences for thousands of developers; Provide the environments where agents write, build, test, and publish code;  Provide actionable insights that leverages data and metrics; and most importantly, deliver reliable and scalable infrastructure. You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well.

Responsibilities

• Lead, coach and manage core team of engineers working on building the infrastructure.

• Participate with senior management in developing a long-term technology roadmap for the team and company.

• Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope.

• Communicate and collaborate effectively with stakeholders across engineering and business leadership.

• Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills.

• Drive a culture of operational excellence. Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time.

• Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality.

• You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs.

Job Description

This role will be available in Bellevue, Washington. 

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems.

What You’ll Do:    

The ideal candidate will help scale LinkedIn’s infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below:  

• Data Infrastructure: A focus on building and supporting large scale systems and tools that enable the generation of insights and data products on all of LinkedIn’s internal and external data via self-serve computing, reporting solutions, and interactive querying.
• Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds. The goal is to provide and run in 24/7 production environment a platform that enables search quality engineers to rapidly innovate, experiment and improve relevance—while at the same time remaining constantly available and performant to our users.
• Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment.  
• Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content.