SaaS Tech Sales CV & LinkedIn for Non-Native – AE/Senior BDR Transition (Remote EU/US)
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Warmed up Linkedin accounts needed
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Sr Manager, Talent Acquisition
Program Manager, Growth
Account Executive, SMB - LinkedIn Talent Solutions
Senior Software Engineering Manager, Development Infrastructure
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.
Manager, Software Engineering, Development Infrastructure
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.
Sr. Software Engineer, Systems Infrastructure
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.
AI Architect - Business Applications
This role will be based in San Francisco, CA, NYC, NY, Bellevue, WA or Chicago, IL
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
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.