Design Jobs

Headquarters: San Francisco, CA, New York, NY, Portland, OR, or Remote within United States

Mercury is building a complete finance stack for startups. We work hard to create the easiest and safest banking* experience possible to simplify entrepreneurs' and business owners’ financial lives.The challenge is to do so while ensuring we protect Mercury, customers and the broader financial ecosystem from bad actors and harmful, illegal or unauthorized activities.

Our AML Investigations team is crucial in this mission and is responsible for detecting suspicious activity, conducting thorough investigations, and shutting down bad actors. This team is growing and we’re looking to hire an additional AML Risk Investigator to help us with Bank Partner Requests for Information, Transaction Monitoring, Financial Crime Investigations, Case Management and drafting Unusual Activity Reports. As a member of our Investigations team, you’ll help handle our transaction monitoring queues while balancing an eagle eye for risk with excellent user experience. To begin with, you’ll work to help make sure we have smart, risk-based monitoring in place and help build out our case management technology and processes.

You’ll need to learn how a really wide range of businesses work and bring your knowledge to bear on our processes and product. Some of this work is repetitive and requires close attention to detail, so we need someone who loves working fraud and anti-money laundering transaction queues and managing a variety of complex investigations.

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

As part of the journey, we would expect you to:

• Provide input as we implement new transaction monitoring rules and tune existing ones
• Review AML, and other financial crime alerts in our transaction monitoring queue and take action as needed
• Contact our users for information on their account usage and transactions
• Work with our partners and internal team members to review and assess information received from users
• Investigate and respond to Requests for Information (RFIs) from our Partner Banks, delivering clear, well-supported AML reviews on customer’s account activity
• Decision user accounts as needed, including locking or closing accounts
• Develop an understanding of expected activity for each type of user we work with
• Document investigative findings and escalate unusual or potentially suspicious activity to our Partners for SAR consideration
• Develop an unfailing eye for potential fraud or money laundering
• Investigate tools that would make your job easier 
• Write clear documentation on current processes and help train future teammates

Some things that might make you successful in a role like this:

• Have experience in identifying money laundering, detecting fraud, or other financial crimes related behavior in banking, fintech, or other financial services through vendor AND in-house developed transaction monitoring rules 
• Be fluent in the language of bank transactions, including ACH, check, debit card, credit card, and wire transfers, both domestic and international
• Understand the business banking landscape and have familiarity with international activity and ownership
• Exercise empathy and understanding when communicating with users
• Communicate complicated concepts with efficiency and clarity, both in speech and writing
• Manage relationships with external parties with confidence and kindness
• Work with efficiency and focus
• Understand how to keep an organized and clean inbox
• Love problem solving and making teams, product, and processes more efficient
• Derive joy from customer joy
• Enjoy thinking about how to automate as much of your job as possible
• Be curious about the US banking system, startups, and ecommerce companies

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

#LI-DNI

To apply: https://weworkremotely.com/remote-jobs/mercury-aml-investigator-iii

Headquarters: San Franciscio Bay Area Remote

At Yubico, we offer:

Freedom and Flexibility: At Yubico, we want you to be your most productive selves whether you decide to work 100% from home or choose to work hybrid/onsite. The way we balance the fast-paced demands of a high-growth company and sustainability is making rest a priority.

Yubico Values: We work to ensure that our employees have an open space to have their voices amplified to create a workplace where everyone feels like they belong. In support of this, our employees have created some pretty cool Employee Resource Groups that foster inclusion, help build community and connection across Yubico. Additionally, Yubico donates YubiKeys to organizations in need all over the world (you can read more about our work here).

Social Connection: Relationships and connectedness matter, and we love spending time with our team! Our virtual workspace keeps us connected day-to-day whether it's through Yubico celebrating wins or our buzzing Slack communities. Check out our Life at Yubico Page on LinkedIn and our awards here.

The Role:

Cybercrime is the biggest threat that companies face today. Yubico has become the global standard for combating cyber attacks with phishing-resistant authentication at scale. The great news is that Yubico has been adopted by 9 of the top 10 technology firms, some of the largest financial institutions, manufacturing companies, retail/hospitality and healthcare organizations also use Yubico. We need help to expand even further.

Yubico is looking for a dynamic, experienced Account Director to join our strategic named accounts sales team.  This individual will work with our rapidly growing customer base and prospects to drive Yubico revenue and enterprise utilization.  We welcome a strong individual who has deep knowledge of the enterprise market. 

Revenue booked is a critical measure, but this role is so much more. It's also about changing the world and bringing Trust back into our digital world for customers, partners and their customers.

Tasks & Responsibilities:

• Develop and execute your strategic and tactical business plan to drive revenue in strategic named accounts assigned to you
• Own the revenue number for your accounts: 
• New customer acquisition
• Expand existing relationships and install base
• Define and land new strategic relationships 
• Provide thought leadership to customers and, when available, at industry events
• Employ channel partners to grow adoption
• Develop strong champions within your customers who actively advocate for Yubico
• Reports to the RVP Sales, West/Tech
• Coordinate with internal resources in a dynamically growing business to deliver an outstanding customer experience
• When required work collaboratively to develop complex custom solutions

Basic Qualifications:

• Minimum 10+ years of experience in a similar role
• Deep understanding and experience in selling technology to enterprise customers 
• Demonstrated ability to execute complex sales cycles with accuracy
• Understanding of the Cyber Security and Identity & Access Management (IAM) marketplace, with demonstrated success selling authentication or security solutions at the enterprise level
• Track record of overachievement via direct sales, through partners and SI’s
• Comfortable having deep technical conversations with engineering/security professionals, and able to present at CTO, CIO or CISO levels
• Located in the San Francisco Bay Area
• This position is an individual contributor and field sales role

Our U. S. benefits are designed for your overall well-being:

Health coverage. We’ve got you covered with top of the line health plans, including dental and vision. We pay 100% of your premium and 85% for your family.

Retirement plan. Our retirement plan includes a 401K dollar per dollar match up to 6% with a cap of $6K/year. Immediate vesting.

Wellness reimbursement. We offer $1,200.00 in wellness earnings (prorated based on start date) that you can use on your gym membership, a massage, or your favorite online fitness classes. This is a taxable benefit if you choose to participate.

Learning and development. We encourage your professional growth and offer a yearly development stipend of $3,000 and mentorship program. 

Time off. We offer a total of 15 vacation days plus 10 holidays, and 7 sick days a year.

Paid parental leave. We love welcoming new family members to our YubiTeam! All parents receive 8 weeks of paid leave. Birthing parents receive an additional 8 weeks of paid leave (16 weeks total). 

Commuter Benefits. If you need to commute to the office, we offer commuter benefits. 

Strong mission & company values. We’re a global team on a global mission to make the internet more secure for everyone. We believe that every person’s work matters. That you should always be nice, stay humble, and have fun, and never take yourself too seriously.

To apply: https://weworkremotely.com/remote-jobs/yubico-inc-enterprise-account-director-west

Headquarters: US Remote

At Yubico, we offer:

Freedom and Flexibility: At Yubico, we want you to be your most productive selves whether you decide to work 100% from home or choose to work hybrid/onsite. The way we balance the fast-paced demands of a high-growth company and sustainability is making rest a priority.

Yubico Values: We work to ensure that our employees have an open space to have their voices amplified to create a workplace where everyone feels like they belong. In support of this, our employees have created some pretty cool Employee Resource Groups that foster inclusion, help build community and connection across Yubico which all employees are welcome to join. Additionally, Yubico donates YubiKeys to organizations in need all over the world (you can read more about our work here).

Social Connection: Relationships and connectedness matter, and we love spending time with our team! Our virtual workspace keeps us connected day-to-day whether it's through Yubico celebrating wins or our buzzing Slack communities. Check out our Life at Yubico Page on LinkedIn and our awards here.

The Role:

Yubico is seeking a Channel Manager to manage and expand relationships with key cybersecurity resellers and strategic partners, including GuidePoint, Zones, and Insight. This individual will be responsible for driving revenue growth through partner enablement, joint business planning, and strategic execution. The ideal candidate has a strong understanding of the cybersecurity VAR ecosystem, thrives in a collaborative environment, and can translate strategy into measurable results.

Tasks & Responsibilities:

• Strategic Relationship Management: Serve as the primary point of contact for assigned partners, building trusted relationships and ensuring alignment on joint business objectives.
  
  
• Joint Business Planning: Develop and execute annual business plans with assigned partners to drive growth, enablement, and solution adoption.
  
  
• Sales Enablement: Deliver targeted training and enablement programs to partner sales teams, equipping them with the knowledge and tools to effectively position Yubico’s security solutions.
  
  
• Deal Acceleration: Collaborate with partner sellers to identify, qualify, and close opportunities, supporting forecast accuracy and accelerating sales cycles.
  
  
• Performance Management: Track partner performance against revenue and engagement KPIs, identifying gaps and implementing improvement plans.
  
  
• Market & Competitive Insight: Monitor market trends and competitor activity to inform go-to-market strategies and strengthen Yubico’s channel value proposition.

Basic Qualifications:

• Bachelor’s degree in Business, Marketing, or related field (MBA a plus)
• 5+ years of experience in channel management, partner development, or sales within cybersecurity or enterprise technology
• Demonstrated success driving revenue growth through strategic initiatives and partner collaboration
• Strong understanding of VAR, MSP, and distributor business models
• Excellent communication, negotiation, and relationship-building skills with experience engaging senior-level stakeholders
• Data-driven, with the ability to analyze performance metrics and translate them into actionable insights
• Self-starter with strong organizational skills and a results-oriented mindset
• Travel up to 40-50% required

Preferred Qualifications:

• Direct experience managing GuidePoint, Zones, or Optiv (or similar large cybersecurity resellers)
• Familiarity with identity and access management (IAM), multi-factor authentication (MFA), or broader cybersecurity markets

Our U. S. benefits are designed for your overall well-being:

Health coverage. We’ve got you covered with top of the line health plans, including dental and vision. We pay 100% of your premium and 85% for your family.

Retirement plan. Our retirement plan includes a 401K dollar per dollar match up to 6% with a cap of $6K/year. Immediate vesting.

Wellness reimbursement. We offer $1,200.00 in wellness earnings (prorated based on start date) that you can use on your gym membership, a massage, or your favorite online fitness classes. This is a taxable benefit if you choose to participate.

Learning and development. We encourage your professional growth and offer a yearly development stipend of $3,000 and mentorship program. 

Time off. We offer a total of 15 vacation days plus 10 holidays, and 7 sick days a year.

Paid parental leave. We love welcoming new family members to our YubiTeam! All parents receive 8 weeks of paid leave. Birthing parents receive an additional 8 weeks of paid leave (16 weeks total). 

Commuter Benefits. If you need to commute to the office, we offer commuter benefits. 

Strong mission & company values. We’re a global team on a global mission to make the internet more secure for everyone. We believe that every person’s work matters. That you should always be nice, stay humble, and have fun, and never take yourself too seriously.

#LI-LV1

To apply: https://weworkremotely.com/remote-jobs/yubico-inc-channel-account-manager

Headquarters: India (remote)

Role Purpose: The Machine Learning Engineer IV will play a critical role in advancing Jumio's Fraud team's mission to develop and enhance state-of-the-art solutions for fraud detection for ID verification purposes. This role is essential for ensuring the highest standards of security and user verification through the application of advanced machine learning and deep learning techniques, ultimately contributing to Jumio's leadership in the online identity verification, eKYC, and AML solutions market

Role Value: As a Machine Learning Engineer IV at Jumio, you will have the opportunity to significantly impact the security and user experience of our ID verification solutions. Your expertise in deep learning and computer vision will drive the development of innovative algorithms that keep Jumio at the forefront of the industry. By deploying and maintaining these models in production, you will ensure the robustness and reliability of our solutions, supporting our clients across diverse industries such as Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your contributions will be pivotal in maintaining Jumio's reputation as the leading provider of online identity verification solutions, helping to meet the growing demand for secure and seamless user verification globally.

Example Responsibilities

. 

• Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering of Jumio. 
• Design and implement machine learning, deep learning, classical CV focused on fraud detection.
• Research to support the deployment of the advanced algorithms.
• Deploy models as AWS SageMaker endpoints or directly onto devices.
• Stay updated with the latest advancements in machine learning, deep learning, and computer vision by engaging with academic papers and attending industry conferences.
• Work collaboratively with other engineers and product managers in an Agile development environment.

Experience and Qualifications 

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• A minimum of 6+ years of commercial experience in the field of machine learning/deep learning, not including time spent studying (2 years with Master’s).
• Must have: experience with training of DL models for deepfakes, synthetic data, or gen AI data detection.
• Deep understanding of how to convert ML metrics to product goals. 
• Hands-on experience with PyTorch or TensorFlow, SKLearn, and in developing production-grade Python code.
• Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments.
• Strong communication and problem-solving skills.

Great to have Experience and Qualifications 

• Experience in working with LLM’s or VLM’s.
• Work with image or video generation.
• Experience with cloud environments - AWS / GCP.
• Experience in working in global organizations across several timezones

To apply: https://weworkremotely.com/remote-jobs/jumio-machine-learning-engineer-iv-fraud

Headquarters: Remote US

About the Risk & Analytics Team

The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability.

Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks.

We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently.

One Role, Multiple Teams

We are hiring multiple Analyst I roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A.

If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process.

Potential team placements include:

• Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel.
• Direct to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences.
• Fraud: Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience.
• Core Analytics: Build the quantitative research, machine learning models, performance monitoring, and scalable data foundations that enable fast, economically sound decisions.
• Servicing: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency.
• International Expansion: Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets.

About the Role

As an Analyst I in Affirm's Risk & Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Analyst I roles share a common foundation: using data to understand business performance, identify opportunities, and help Affirm make better decisions.

You will learn the fundamentals of consumer lending while executing scoped analytical work under the guidance of senior analysts and managers. You will leverage SQL, Python, and modern analytical tools to help optimize business strategies, monitor performance, and turn complex data into actionable insights.

You are a thoughtful, driven individual eager to build a strong technical foundation, learn how to navigate exogenous market changes, and integrate modern AI tooling to solve hard problems efficiently.

What You Will Do

• Derive Insights & Support Strategy: Leverage data analytics to uncover insights that help optimize product, risk, or growth strategies across geographies.
• Monitor Portfolio Health: Assist in tracking performance metrics, user behavior, and macroeconomic trends that impact business outcomes, flagging risks and anomalies to senior team members.
• Technical Execution: Write clean, working SQL and Python to build scalable reporting and partner with Engineering to support the deployment of machine learning and risk models.
• Cross-Functional Collaboration: Work closely with Product, Legal, and Compliance to understand evolving consumer lending regulations and market requirements, assisting in translating them into foundational data models and operational policies.
• Drive Launch Alignment: Support cross-functional discussions to ensure new product launches and market entries align with our operational capabilities and risk appetite.
• AI Fluency & Efficiency: Integrate AI tools such as Cursor, Claude Code, and copilots into your daily workflows to accelerate data mining and routine tasks, while carefully verifying outputs.

What We Look For

• 1–3 years of experience in an analytically driven role. Relevant internships or prior experience in consumer lending, fintech, or the broader financial services industry are highly valued.
• Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field.
• Solid working knowledge of SQL, Python, or other scripting languages.
• Familiarity with data mining, data visualization, and foundational statistical modeling.
• Basic understanding of, or deep curiosity about, consumer lending regulations, fair lending principles, and how machine learning techniques apply to real-world business problems.
• Exceptional communication skills, humility, and the ability to collaborate effectively with cross-functional peers.

Pay Grade - I
Equity Grade - 5

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

USA base pay range (CA, WA, NY, NJ, CT) per year: $115,000 - $165,000
USA base pay range (all other U.S. states) per year: $101,000 - $151,000

#LI-Remote

To apply: https://weworkremotely.com/remote-jobs/affirm-analyst

Headquarters: Remote - United States

About the Role:

As a growth-focused Fullstack Engineer on our team, you will play a central role in driving user acquisition, conversion, and retention through highly performant and visually stunning web experiences. You will collaborate with cross-functional teams—from marketing to sales to product design—to build dynamic pages, run A/B tests, and optimize conversion funnels.

In this role, you’ll design and develop scalable features that enhance the user journey, integrate feedback loops, monitor key metrics, and ensure the reliability of our acquisition funnel. By staying updated on industry trends and focusing on delightful UX, you’ll continuously refine our web properties—ultimately delivering an exceptional experience from first touch through ongoing engagement.

If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.

What You Will Do:

• Lead complex frontend projects that establish Vercel as a gold standard for brand and product marketing.
• Collaborate with growth and marketing teams to A/B test landing pages for lead generation across multiple channels.
• Design and implement scalable applications, web services, and APIs with a focus on user experience and performance.
• Contribute to our design system and uphold industry-leading UX standards (e.g., interactions, micro-animations, layout consistency).
• Continuously improve engineering processes, tools, and systems to scale the codebase and team productivity.
• Troubleshoot and fix bugs, delivering quick, high-quality resolutions.
• Write technical documents and maintain internal tools to empower other teams.
• Review and provide feedback on contributions from other engineers.
• Identify bottlenecks and optimize for conversion, speed, and reliability across the funnel.
• Critically think about foundational areas of the Vercel application to ensure ease of maintenance and future extensibility.

About You:

• 5+ years of professional frontend engineering experience (React, JavaScript, Tailwind CSS, or similar).
• Strong proficiency in Next.js and familiarity with modern frontend frameworks.
• Full stack experience (comfortable designing or consuming APIs and working with various services).
• Deep understanding of SEO principles and best practices—especially around performance, accessibility, and search optimization.
• Proven knowledge of A/B testing concepts and conversion rate optimization.
• Stellar cross-functional communication skills—you can work effectively with marketing, design, and product to reach shared goals.
• Eye for good user experiences and a knack for “getting the visuals right.”
• Desire to work in a fast-paced environment, continuously grow, and master your craft.

Bonus If You:

• Have familiarity with the Vercel platform.
• Comfortable using Tailwind CSS.
• Background in web design or interest in design systems.
• Interest in developer tooling domain.

Compensation & Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $196,000 - $294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

To apply: https://weworkremotely.com/remote-jobs/vercel-site-engineer

Headquarters: San Francisco, CA
URL: http://bit.ly/3kLhMdk

About Contra Labs

Contra Labs sits at the intersection of human creativity and AI. We partner with leading AI labs and product companies to improve their tools across design, video, development, and beyond. Our research is grounded in how top creatives actually work, studying the patterns behind what gets created, what gets chosen, and what resonates. We believe human input will always be at the center of net new creation, and our mission is to help shape technology so human creativity can be amplified to create what today is unimaginable.

By joining the Contra Labs network you gain access to paid projects with some of the most innovative companies building the next generation of creative and AI-powered tools.

How It Works

This is an application to join the network and be eligible for roles as they arise. Projects are staffed on an as-needed basis, typically 5 to 10 hours at a time, though some may extend into longer engagements. In unique cases, we may have full-time roles available as well. When a project matches your skill set, we'll reach out with details and timeline.

To Join the Network

• Portfolio review - We'll assess your Contra profile and portfolio for strength in content design, with a focus on ad creative and performance-driven visual content.

• Record a 30 second intro video - Share a quick 30 second introduction so we can get to know you.

• Complete profile - Once you’ve applied, we recommend completing your profile for better job matches and setting up your wallet so you can get paid when a job comes through.

What You May Work On

• Evaluate AI-generated games and interactive experiences for gameplay quality, technical execution, and overall player experience

• Provide clear, structured feedback on gameplay loops, mechanics, controls, physics, level design, UI, visual feedback, and overall game feel

• Help define quality benchmarks and evaluation criteria for what great AI-generated games should look, feel, and play like

• Identify common failure modes in AI-generated games, including broken gameplay loops, poor collision or physics logic, unresponsive controls, and disjointed player feedback

• Build or evaluate playable prototypes and reference experiences that demonstrate best-in-class game design and technical execution

• Contribute to research exploring how AI models can better understand and generate compelling, polished, and playable interactive experiences

What We're Looking For

• Strong portfolio showcasing high-quality game design, interactive experiences, or playable projects

• Strong understanding of game mechanics, gameplay loops, player experience, controls, and visual feedback

• Ability to articulate creative and technical feedback clearly and constructively

• Strong game design instincts and awareness of contemporary games, mechanics, interaction patterns, and player expectations

• Comfort working in fast-paced, experimental environments (experience with AI, game engines, or rapid prototyping tools is a plus)

To apply: https://weworkremotely.com/remote-jobs/contra-senior-game-designer

Headquarters: San Francisco, CA
URL: http://bit.ly/3kLhMdk

About Contra Labs

Contra Labs sits at the intersection of human creativity and AI. We partner with leading AI labs and product companies to improve their tools across design, video, development, and beyond. Our research is grounded in how top creatives actually work, studying the patterns behind what gets created, what gets chosen, and what resonates. We believe human input will always be at the center of net new creation, and our mission is to help shape technology so human creativity can be amplified to create what today is unimaginable.

By joining the Contra Labs network you gain access to paid projects with some of the most innovative companies building the next generation of creative and AI-powered tools.

How It Works

This is an application to join the network and be eligible for roles as they arise. Projects are staffed on an as-needed basis, typically 5 to 10 hours at a time, though some may extend into longer engagements. In unique cases, we may have full-time roles available as well. When a project matches your skill set, we'll reach out with details and timeline.

To Join the Network

• Portfolio review - We'll assess your Contra profile and portfolio for strength in content design, with a focus on ad creative and performance-driven visual content.

• Record a 30 second intro video - Share a quick 30 second introduction so we can get to know you.

• Complete profile - Once you’ve applied, we recommend completing your profile for better job matches and setting up your wallet so you can get paid when a job comes through.

What You May Work On

• Evaluate AI-generated 3D scenes, interactive environments, simulations, and spatial experiences for visual and technical quality

• Provide clear, structured feedback on scene composition, lighting, materials, physical dynamics, asset integration, interaction, and overall visual coherence

• Help define quality benchmarks and evaluation criteria for what great AI-generated 3D experiences should look and feel like

• Identify common failure modes in AI-generated 3D work, from broken physics and interactions to poor spatial composition or inconsistent visual feedback

• Create reference examples, prototypes, or "golden" outputs that demonstrate best-in-class 3D execution

• Contribute to research exploring how AI models can better understand and generate interactive 3D experiences

What We're Looking For

• Strong portfolio showcasing high-quality 3D design, interactive environments, or spatial experiences

• Strong understanding of 3D composition, lighting, materials, animation, and visual coherence

• Ability to articulate creative and technical feedback clearly and constructively

• Strong 3D design instincts and awareness of contemporary visual culture, 3D trends, and emerging digital aesthetics

• Comfort working in fast-paced, experimental environments (experience with AI, 3D tools, or creative technology is a plus)

To apply: https://weworkremotely.com/remote-jobs/contra-senior-3d-designer

As an Assistant Manager, your responsibilities will grow to include:

• Setting up the store to open for business
• Overseeing/completing the end of night cleaning and closing of the store
• Delegating/completing prep-work and cleaning
• Taking and making orders
• Boxing and organizing items for orders as they exit the oven
• Routing deliveries to delivery drivers and bikers
• Upholding customer and store image standards
• Checking in, dating, and rotating inventory from truck deliveries
• Placing inventory orders as needed
• Assisting management team with inventory and quality control
• Delivering orders as needed

• High School Diploma or equivalent
• Responsible, reliable, and punctual
• Strong customer service skills
• Ability to take constructive criticism from management team
• Ability to multi-task with a sense of urgency
• Fluent in English
• Able to pass an MVR (driving record check) and background check
• Prior experience in management a plus

All your information will be kept confidential according to EEO guidelines.

Join the #1 Pizza Delivery company in the world

Headquarters: Remote

About the Role

We're looking for a Senior Research Engineer to join our Research team, developing and improving the systems behind large-scale distributed training, data processing, and inference. Our goal as an organization is to solve customer problems and improve our products quickly through model development and measurement — and how fast we move depends on how quickly anyone here can run an experiment, measure it, and find out what's wrong. Raising that ceiling is the heart of this role. You'll be working inside the pipeline you're improving, not alongside it.

The ideal candidate has a deep understanding of modern deep learning systems, combined with strong engineering expertise across JAX and TPUs, layer-level optimization, large-scale distributed training, streaming, low-latency and asynchronous inference, inference compilers, and advanced parallelization techniques.

This is a cross-functional role. You'll work closely with our researchers, our infrastructure team, and production engineering — not as a handoff point, but as the person who learns enough of each domain to follow problems through to resolution. At times you'll train models, run evaluations, and analyze data yourself, both to deliver impact directly and to learn what's worth building to multiply the team's work. The bar is someone who understands the end-to-end impact they intend to make, measures it from the outset, and would rather find out they were wrong in a week than in a quarter. That discipline is what turns cross-functional ownership into an advantage.

The role is embedded within the Research team. 

What You’ll Do

• Raise the team's experimental velocity — make it faster to launch an experiment job, get a number back you can trust, and know what to try next.
• Maintain and evolve our JAX training framework, keeping it scalable and efficient for large-scale distributed training runs on TPU.
• Improve the data our models learn from: investigating quality issues, building the tooling to surface them, and turning what you find into measurable accuracy gains.
• Analyze the accuracy of production models, build evaluation harnesses, and work out which improvements will matter most to customers.
• Translate research prototypes into production-ready systems, refactoring and modernizing model architectures and infrastructure along the way.
• Optimize production inference for speech language models, both from a serving architecture perspective and through advanced techniques such as quantization and speculative decoding.
• Investigate and resolve performance bottlenecks across the stack, from low-level kernels (XLA, Pallas) to high-level system design.
• Partner with researchers, infrastructure, and production engineering to trace problems to their real source and ship fixes that hold.

What You’ll Need

• Expert-level proficiency with JAX and TPUs, including the surrounding ecosystem (Flax, Optax, the XLA compilation pipeline).
• Measurement discipline. You define what success looks like before you start, you stay skeptical of your own results until they hold up, and you treat an unexplained improvement as a problem rather than a win.
• Appetite for the whole pipeline. Your core strength might be JAX and TPU performance, but when a customer issue traces back to a data problem or an evaluation blind spot, you want to go find it yourself. The people who do well here went deep in one area first, then kept expanding outward.
• Strong experience optimizing inference systems for production, ideally with LLMs or speech models.
• Deep understanding of distributed training at scale, modern deep learning systems, and ML infrastructure best practices.
• Familiarity with modern inference optimization techniques: continuous batching, KV-cache management, sharding strategies, quantization.
• Enthusiasm for refactoring and improving existing systems — you thrive on making products and code faster and better.
• Strong Python skills; C++ or Rust experience for kernel-level work is a plus.
• Excellent communication and a collaborative mindset — you can clearly explain complex tradeoffs and prioritize high-impact work.

Bonus

• Domain knowledge in Speech-to-Text: ASR architectures, audio processing, streaming inference. 

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.

Salary range: $270,000 - $310,000

To apply: https://weworkremotely.com/remote-jobs/assemblyai-senior-research-engineer

Headquarters: Remote - North America

About the Role

We're hiring our first Senior GTM AI Engineer. This is a software engineering job inside the revenue org. You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning.

Most of what a sales ops team used to do by hand is now something you can write software to do. Finding every company building voice AI before they contact us. Researching an account and drafting the first email. Watching product usage and telling an AE when a customer is about to expand or churn. Keeping the CRM clean without anyone filling in forms. You will build those systems, run them in production, and be judged on whether pipeline and revenue move.

Your users are our AEs, SDRs, and GTM leaders. Your job is to make a small team perform like one three times its size.

What You'll Do

• Write code every day. Python services, SQL models, scheduled jobs, and small internal apps are most of the job. You'll use Claude Code and similar tools to ship in days what used to take a quarter.
• Build agents that do the work: account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring. Design them, give them tools and data, evaluate their output, and keep them running.
• Turn product usage data in BigQuery and Looker into signals sellers act on: usage alerts, expansion triggers, and account health scores.
• Build the account targeting machine: sourcing, enrichment, dedupe, and ICP scoring, from raw data to a ranked list in a rep's queue.
• Integrate the systems the team already uses (our CRM, enrichment providers, outbound tools) so data moves between them without a human in the loop.
• Keep funnel data trustworthy: routing rules, field governance, and attribution.
• Prototype fast, measure what works, kill what doesn't, and work directly with Sales and Marketing leadership on what to build next.
• Document what you build so it keeps running without you.

What You'll Need

• 4+ years as a software engineer, data engineer, or growth/GTM engineer, with time spent shipping systems that other people depend on.
• Strong Python and SQL. You have owned production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring.
• Experience building with LLMs beyond a single prompt: multi-step agents, tool use, retrieval, and evaluation. You can tell whether an agent's output is good, and you know when a plain script is the better tool.
• AI-assisted development is how you work. You use Claude Code or similar tools daily, and you have the engineering judgment to review, test, and stand behind what they produce.
• Solid fundamentals: clean code, version control, code review, debugging, and a habit of thinking in systems. You do not need an engineering team to ship.
• Curiosity about how a sales org works. You don't need a RevOps background, but you need to care about how deals get found and closed, and be willing to learn our CRM and the tools around it quickly.
• A builder's mindset with an operator's judgment: you scope for business impact, ship iteratively, and measure results in pipeline and revenue.
• Low ego, high ownership, and comfort being the single-threaded owner of an entire domain.

Nice to Have

• Hands-on Salesforce or other CRM work at the object and API level, or experience with enrichment and outbound tools like Clay.
• dbt, BigQuery, and Looker, or an equivalent warehouse and BI stack.
• Time at a developer-facing or API-first company, or selling to technical buyers.
• You've been the first engineer in a sales or growth org and built the function from scratch.

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.

Salary range: $160,000 to $220,000

To apply: https://weworkremotely.com/remote-jobs/assemblyai-senior-gtm-ai-engineer