Experience Requirements:

• 2-7 years of experience as a frontend engineer

Other Requirements:

• Proven expertise in React, TypeScript, and state management tools such as Redux and React Query.

• Strong understanding of frontend performance optimization and scalable architectures.

• An eye for design, with the ability to contribute meaningfully to the visual and UX design process.

• A collaborative, proactive approach with strong communication skills and the ability to work independently with minimal supervision.

• A commitment to ownership: able to estimate, manage, and deliver end-to-end solutions.

• Willing to travel on a monthly basis to the Bay Area for team offsites.

Responsibilities:

• Architect and build foundational user interfaces for our data application from scratch, including single-page applications using React and Next.js.

• Own and drive the frontend architecture using technologies like React, TypeScript, Next.js, and Redux.

• Strengthen familiarity with design systems and atomic design principles, including frameworks like Material-UI. to build reusable components.

• Expand proficiency with automated testing and CI/CD pipelines using Cypress, Jest, and GitHub Actions.

• Lead the creation of mockups, converting designs into code, and implementing responsive, high-performance websites.

Experience Requirements:

• 5-7 years of experience, though we are flexible.

Other Requirements:

• An obsession with automation and getting into the weeds.

• Bulletproof backend software engineering foundations, and perpetually learning new frameworks to unseat the old.

• The ability to make cut-through infrastructure and data processing decisions that scale.

• A Passion for new AI technologies and startups.

• Willing to travel on a monthly basis to the Bay Area for team offsites.

Responsibilities:

• Engineer core pillars of our multi-interface data application from scratch.

• Manage a sophisticated array of data APIs and data infrastructure with an unwavering passion for high-leverage deployment patterns and IAC.

• Create new products leveraging AI and LLMs to unlock new interfaces with, and understanding of, the unique datasets that Termina is accumulating.

• Conceive of and / or implement novel ways of distributed systems management, and high-scale data processing and retrieval.

Benefits:

• Dental

• Medical

• Vision

• Remote Work

• Structured internal training program

Education Requirements:

• BA/BS degree not required, but some college is desired

Experience Requirements:

• 0-1 years sales experience

Responsibilities:

• Work on outbound outreach to identify sales opportunities

• Work on qualification for inbound lead requests

• Track and meet daily, weekly and quarterly metrics

• Follow-up with marketing campaigns as needed

• Learn about our products and our sales and marketing processes

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Experience Requirements:

• 5+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field

• 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services

• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and an obsession with thorough ML evaluation

• Experience building and maintaining large scale, production data pipelines for machine learning applications

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Assist customers with the delivery of a Machine Learning project from beginning to end, including business case definition and scoping, data aggregation and exploration, algorithm selection, and model deployment to deliver business impact to the organization

• Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials.

• Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more

• Serve as the voice of our customers for new ML paradigms, data science workflows, and share customer feedback to product teams

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Education Requirements:

• B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 2+ years experience working in a technical customer-facing role.

• Proficient in Python.

• Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.

• Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage customer requests.

• Experience with common support software like Zendesk, Jira, and Slack.

Responsibilities:

• Partner with Snorkel Flow users to design, build, troubleshoot and deploy AI applications.

• Lead the resolution of critical technical issues, providing prompt and complete resolution to technical challenges and business issues.

• Perform live working sessions to analyze and address customer reported issues.

• Prioritize, document and coordinate customer issues with account assigned ML Success Managers and the Snorkel engineering team.

• Contribute to internal and external guides and docs, improving our self-service support materials.

Education Requirements:

• B.S. degree in Business Administration, Engineering, or comparable degree/experience.

Experience Requirements:

• 4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager.

• 2+ years experience as a lead project manager, preferably in a technology or consulting environment.

• Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor.

• Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.

• Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects.

Responsibilities:

• Serve as the primary point of contact for machine learning projects throughout the delivery lifecycle, leading meetings, providing regular updates, addressing concerns, and managing expectations.

• Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule.

• Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively.

• Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders.

• Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty.

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Experience Requirements:

• 7+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field

• 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services

• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and an obsession with thorough ML evaluation

• Experience building and maintaining large scale, production data pipelines for machine learning applications

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Assist customers with the delivery of a Machine Learning project from beginning to end, including business case definition and scoping, data aggregation and exploration, algorithm selection, and model deployment to deliver business impact to the organization

• Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials.

• Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more

• Serve as the voice of our customers for new ML paradigms, data science workflows, and share customer feedback to product teams

Education Requirements:

• Bachelor's degree in Computer Science or related field, or equivalent demonstrated experience

Experience Requirements:

• Strong development and debugging skills in Python

• 5+ years of software development experience in distributed systems and cloud-native applications

• Strong experience with cloud platforms and infrastructure as code (Terraform, CloudFormation, Helm)

• Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)

• Proficiency in code and system health, diagnosis, resolution and software test engineering

Responsibilities:

• Design, build, and maintain services and deployment for Snorkel’s enterprise platforms

• Design, build, and improve observability and alerting for Snorkel’s enterprise platforms

• Contribute to Snorkel’s inhouse deployment management software to installation and upgrades of various deployments for Snorkel’s enterprise customers

• Build and maintain Snorkel’s production and staging infrastructure; own our k8s and cloud strategy

• Work closely with various engineering teams in defining test strategies and build infrastructure to execute the same

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Responsibilities:

• Orchestration and Infrastructure Development:

• Design, implement, and maintain orchestration tools for workflows using Ray and Prefect.

• Build and manage infrastructure for scalable data connectors to integrate with systems like S3, Snowflake, and Databricks.

• Optimize compute resource utilization for AI pipelines and ensure reliable, fault-tolerant execution of tasks.

• MLOps and SDK Development:

Experience Requirements:

• 6+ years of professional experience with modern React (ES7, React hooks, TypeScript)

• Strong technical communication skills and initiative

• Product engineering experience building full-stack web applications

• Ability to prototype and iterate quickly around sophisticated user workflows

• Obsession with front-end development best practices, including designing unit and end-to-end tests

Responsibilities:

• Design and develop key interfaces of Snorkel Flow, including interfaces for managing deployments, automatically analyzing data, and visualizing key metrics

• Work directly with world-class customers to help create intuitive interfaces for ML development

• Advocate and help define standards for the best practices in performance, product quality, security and user experience across the entire application

• Provide mentorship and foster a growth and collaborative mindset for all members of your team.

• Collaborate with cross functional teams on developing large scale products

Experience Requirements:

• 5+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures

• Experience developing and shipping enterprise software products for machine learning and data science applications

• Experience prototyping and iterating on user interfaces with modern React (ES7, React hooks, TypeScript)

• Expertise designing REST or GraphQL APIs for internal services and developers

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Design and develop key interfaces of Snorkel Flow Studio, our novel workspace for programmatic labeling, data analysis, and visualization tools

• Prototype, optimize, and maintain scalable services to power new ML development workflows in Snorkel Flow

• Build proactively with empathy for our customers, constantly iterating to balance innovative research with practical solutions

• Engage with product managers, designers and ML experts to create a phenomenal user experience

• Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes

Benefits:

• Group life assurance policy

• Income protections policy

• Access to our employee wellbeing programme

• An extra day off to celebrate your birthday

• Enhanced Maternity & Paternity leave policies may be available depending on location, eligibility and length of service with Napier. Please ask your Recruiter for more details during your application process.. For example, UK offers 6 months full pay for Maternity Leave and 1 month full pay for Paternity Leave. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.

Experience Requirements:

• At least 4 years of commercial experience in an engineering role working on microservice-based solutions

• Experience in Agile delivery environments

• Knowledge of DevOps and infrastructure engineering principles and practices

Responsibilities:

• Assuming direct development responsibility for developing, debugging and unit testing of product features in accordance with internal procedures and standards

• When required, diagnosing, and solving functional and performance/scalability issues

• Helping to improve technical practices towards a continuously releasable end-state, especially in terms of GitHub, CI/CD, and development processes

Experience Requirements:

• 2-3 years of experience in a Business Development Representative (BDR), Lead Generation, or Lead Qualification role.

Responsibilities:

• Conduct target list research and cold-call potential clients to generate pipeline.

• Develop and execute AI-enhanced email campaigns with personalized outreach.

• Set appointments and follow up on leads, ensuring high-quality engagement.

• Develop relationships with key stakeholders to understand their business challenges.

Benefits:

• Comprehensive private healthcare through AXA covering optical, audio & dental.

• 25 days of annual leave + bank holidays.

• Dedicated pension plan through Aviva.

• Life Insurance 4x your annual salary.

• Enhanced Maternity & Paternity leave. Please note Maternity & Paternity leave policies may be available depending on location, eligibility and length of service with Napier. Please ask your Recruiter for more details during your application process.. For example, UK offers 6 months full pay for Maternity Leave and 1 month full pay for Paternity Leave. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.. Please also note this role can be fulfilled with a hybrid approach or fully in office – depending on your preference and in agreement with the Hiring Manager.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.

Education Requirements:

• Bachelor’s degree in computer science, Information Technology, or a related field.

Experience Requirements:

• 4+ years of experience in database administration, including relational database management.

Responsibilities:

• Database Administration: Install, configure, and maintain relational database systems (e.g., PostgreSQL, MySQL, Oracle), ensuring data availability, performance, and security.

• Elasticsearch Administration: Set up and manage Elasticsearch clusters, optimizing performance and handling indexing and query tuning to meet the needs of high-volume data applications.

• Data Security and Integrity: Implement robust security protocols and regular backup/restore procedures to safeguard data integrity across all managed systems.

• Performance Monitoring and Optimization: Regularly monitor database and Elasticsearch environments, applying tuning techniques to ensure optimal performance.

• Data Modelling and Indexing: Collaborate with development teams to design efficient data models, implement indexing strategies, and optimize database queries.

Benefits:

• Comprehensive private healthcare through AXA covering optical, audio & dental.

• 25 days of annual leave + bank holidays.

• Dedicated pension plan through Aviva.

• Life Insurance 4x your annual salary.

• Enhanced Maternity & Paternity leave policies may be available depending on location, eligibility and length of service with Napier. Please ask your Recruiter for more details during your application process.. For example, UK offers 6 months full pay for Maternity Leave and 1 month full pay for Paternity Leave. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.

Experience Requirements:

• You must have 3-5 years; experience in a partner account manager role and in depth AML/KYC experience

Responsibilities:

• Leverage existing relationships within the partner organization to develop deep and trusted advisory relationships and net-new deal leads generation

• Jointly create and support long-term business plans with new partners that will result in mutual value creation

• Develop strategic goals with your partners that are mapped to the global and regional scorecards

• Build quarterly business plans with all existing growth and enterprise partners, set defined goals and track against these goals at QBRs

• Contribute to the EMEA ARR target through all three partner models, Partner Sourced , Partner Assist and Partner Resell.

Benefits:

• Competitive salary

• Meaningful equity

• Health Insurance

• Vision insurance

• Dental insurance for employees covered 100% by company, Unlimited PTO, Team lunches, Fully stocked kitchen, Caffeine, Team retreats twice a year, Stipend for learning and development

Responsibilities:

• Work closely with our customers to lead the technical execution of high-priority post-sales engagements and POCs.

• Apply your technical and analytical skills to close the last-mile gap in Enterprise AI adoption to ensure our customers are successful with Refuel across the lifecycle of AI applications.

• Leverage your expertise in LLMs and Refuel’s capabilities to build technical guides and onboarding material for users and advise them on the deployment, integration, and use of our platform.

• Diagnose and map customer challenges to Refuel’s product capabilities, while simultaneously anticipating new customer needs.

• Partner with our engineering team to identify, prioritize, and contribute to new feature development based on customer feedback.

Benefits:

• Competitive salary

• Meaningful equity

• Health Insurance

• Vision insurance

• Dental insurance for employees covered 100% by company, Unlimited PTO, Team lunches, Fully stocked kitchen, Caffeine, Team retreats twice a year, Stipend for learning and development

Benefits:

• Interesting and challenging work

• Work-life balance

• Competitive salary and equity

• Employee-friendly equity terms (early exercise, extended exercise)

• We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.

Responsibilities:

• Help fal maintain its frontier position on model performance for generative media models.

• Design and implement novel approaches to model serving architecture on top of our in-house inference engine, focusing on maximizing throughput while minimizing latency and resource usage.

• Develop performance monitoring and profiling tools to identify bottlenecks and optimization opportunities.

• Work closely with our Applied ML team and customers (frontier labs on the media space) and make sure their workloads benefit from our accelerator.

Benefits:

• Interesting and challenging work

• Work-life balance

• Competitive salary and equity

• Employee-friendly equity terms (early exercise, extended exercise)

• We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.

Benefits:

• Interesting and challenging work

• Work-life balance

• Competitive salary and equity

• Employee-friendly equity terms (early exercise, extended exercise)

• We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.

Responsibilities:

• Own and optimize the entire sales cycle—from high-level prospecting to enterprise-level contracting—while effectively articulating fal's AI infrastructure benefits.

• Develop and implement advanced sales strategies to break into new markets, manage executive-level relationships, and consistently exceed revenue targets.

• Lead detailed product demonstrations and complex contract negotiations, ensuring alignment with both technical and business stakeholders.

• Provide strategic market insights and champion customer feedback to influence product roadmaps and priority features.

• Mentor junior members of the sales team, fostering a culture of knowledge sharing and consistent performance improvement.