Benefits:

• 💰 Equity and ownership in a fast-growing company.

• 🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.

• 💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.

• 💻 Handshake offers $500/£360 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.

• 📚 Generous learning & development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.

Experience Requirements:

• You have at least 5+ years of experience as a full stack engineer, and are confident driving architectural decisions on both frontend and backend while being proficient in SQL for query and data analysis.

• You have demonstrated success collaborating with partners in product, design and analytics to define, build, and ship great products and experiences.

• You have experience leading large projects from idea to high quality delivery.

Responsibilities:

• You will architect and build features that our SMB employers will use daily.

• You will lead by example in maintaining a high standard of quality in your own work and in the feedback provided to peers in code review and architecture discussions.

• You will lend your technical knowledge and experience to influence the team’s roadmap and prioritization of innovation and operational health initiatives such as quality control and on-call.

Benefits:

• Equity

Experience Requirements:

• Top-tier management consulting or similar professional client service experience

• Experience in business development or strategic partnerships

• Domain expertise in AI, advanced manufacturing and/or semiconductors

Other Requirements:

• Exceptional written, verbal, and interpersonal communication skills

• Entrepreneurial mindset with a strong sense of ownership, high level of motivation to succeed, and adaptability to fast-paced environments

• Willingness to travel domestically and internationally as required

• Operating experience in a startup or similar entrepreneurial environment

• Degree in engineering, science, or computer science

Responsibilities:

• Developing Normal's GTM strategy in collaboration with cross-functional teams, and driving its execution, from outreach to deal closure and partnership success with enterprise organizations.

• Working closely with customers to understand their needs and objectives, and position Normal as a transformation partner to address their business goals.

• Gaining a deep understanding of the enterprise AI landscape and Normal’s relevant application landscape in advanced manufacturing, defining market positioning and key customer segments, creating messaging and sales collateral, and driving the execution of marketing and business development initiatives.

• Building and maintaining a growing enterprise partnership ecosystem, managing sales pipeline activities through robust processes and tools.

• Driving cross-functional coordination with internal stakeholders including engineering, product, marketing, legal and finance to ensure partnership success.

Benefits:

• 100% paid comprehensive medical coverage, including vision and dental, and HSA plan options for employees and their dependents

• Health & wellness app reimbursement

• On-site gym

• Free lunch

• 12 company holidays and flexible time off Generous parental leave: 18 weeks for birth parents and 12 weeks for non-birth parents Hybrid work environment: 3 days a week onsite and two days work from home Twice yearly multi-day offsites Safe harbor matching 401(k) Tax Advantaged Accounts including FSA, Dependent Care FSA, HSA, and commuter benefits Employer Paid Basic Life & AD&D Short Term and Long Term Disability

Education Requirements:

• PhD in biological sciences

Experience Requirements:

• at least 5-year experience in RNA-targeted small molecule discovery

• Proven hands-on experience in working with RNA targets and related screening technologies including but not limited to ASMS, ALIS, Microarray, SPR, ITC.

• Ability to evaluate newer methods as appropriate and implement novel approaches to screen RNA as needed.

• Ability to independently drive, manage, execute, and deliver results on key programs under tight timelines.

• Ability to work in a collaborative environment to enable integration of state-of-the-art technology platform with RNA biology to accelerate the program pipeline.

Responsibilities:

• Work with company leadership to advance our strategy for targeting RNA with small molecules and RNA degraders.

• Develop RNA screening strategy, establish screening platform and relevant technologies internally and/or in collaboration with external partners including but not limited to ASMS, Microarray, SPR, ITC, and/or other relevant biophysical methods. In addition, evaluate any new methods and implement them as necessary.

• Enable RNA-directed small molecule drug discovery efforts. Establish validated processes for small molecule hit ID, validation, and lead optimization for RNA targets. Deliver on program requirements in a timely manner.

• Collaborate with the drug discovery, ML data and ML teams to build an integrated workflow to support RNA biology programs.

• Provide scientific leadership and perform day-to-day lab activities.

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

Education Requirements:

• B.S. degree in Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 5+ years demonstrated ability working in a technical customer-facing role, e.g., technical account management, management consultant, pre-sales engineer or customer success.

• Demonstrable ability to understand customer objectives, design solutions and identify expansion opportunities that align to value drivers within the account.

• Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement.

• Consistent record of achieving targets and goals with a history of driving adoption and identifying risks to renewals, cross-selling and upselling.

• Influential presence in front of customers, strong presentation and interpersonal skills and the desire to become the trusted advisor.

Responsibilities:

• Build and develop relationships with senior leaders in business and IT to ultimately stay aligned with business outcomes and secure partnership in their transformation initiatives.

• Identifying critical needs of our customers and mapping appropriate resources multi-functionally including product, engineering, data science, and co-founders.

• Lead the new customer onboarding program and work with core Snorkel AI technical teams to ensure that customer requests and critical issues are resolved in a timely fashion.

• Be a customer advocate as we establish our roadmap and influence features and improvements and actively support them through the product development pipeline via collaboration with the product team.

• Partner closely with Regional Sales Leaders, Account Executives, MLEs, Data Scientists, and other internal collaborators to identify new use cases and add-on opportunities for the account team

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:

• 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:

• Competitive salary and equity

• Unlimited paid time off

• 401k plan with employer contribution

• Medical, dental, and vision insurance

• Generous parental leave policy

Education Requirements:

• Bachelor’s degree

Experience Requirements:

• Proven track record of success in B2B sales, with at least 5 years of experience in a similar role

• Experience selling technical products in DevTools, DevOps, Security, MLOps, and similar markets

Other Requirements:

• Confidence selling to leadership in AI, engineering, security, or similar technical VP/C level decision makers

• CRM proficiency (we use Salesforce)

• Strong written & verbal communication skills, and demonstrable confidence with technical topics

• Curiosity and a willingness to learn quickly, work hard, and achieve the goals set by the team

• Located on the West Coast

Responsibilities:

• Source, nurture, and qualify new leads—and close new logos

• Once landed at a large organization, drive expansion into new business areas and cross-selling products

• Deliver killer product demos and presentations

• Build long-standing relationships with high-potential customers

• Lead negotiations and contract discussions

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.

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.

Education Requirements:

• Masters or PhD

Responsibilities:

• Conduct research on advanced machine learning models, particularly in computer vision.

• Develop and fine-tune models using state-of-the-art techniques.

• Collaborate with our engineering team to integrate research findings into our platform.

• Contribute to open-source projects and share your findings with the broader AI community.

Education Requirements:

• Master’s degree in computer science, Computer Engineering, Robotics Engineering, Mathematics, foreign equivalent or closely related field.

Experience Requirements:

• One (1) year of experience in job offered, Systems Engineer, Robotics Software Engineer, Content Writer or closely related.

• Position requires six (6) months of experience in: C++ and Python programming languages, Linux, Computer vision algorithms, camera calibration and other vision sensors, 3D computational geometry algorithms and related mathematics, Embedded computer platforms, low level stack and interface with application layers, Machine learning, Deep learning for computer vision.

Responsibilities:

• Analyze user needs and design new application architectures to develop software solutions for new customer problems.

• Develop end-to-end machine learning pipelines based on product requirement documents.

• Build new applications software testing environments based on recent scholarly articles with a focus on delivery speed.

• Review team code and enforce engineering best practices during the review process.

• Mentor junior engineers on computer science and computer vision topics.

Responsibilities:

• Ensuring that the executives you support have what they need to seamlessly serve the expectations of our clients and internal commitments/goals through anticipating the needs of your executives and stakeholders, looking ahead and preventing problems from arising, and keeping up with the fast pace of our consulting team

• Flawlessly managing executive calendars by taking ownership of high-volume complex meeting/event scheduling, calendar conflict resolution, advising stakeholders on next steps/responses, and exercising discretion and judgement on escalation and/or delegation

• Impressing external stakeholders with professionalism and efficiency when representing Keystone and the executives you support through your email, phone or in-person interactions

• Coordinating end-to-end travel needs in a thoughtful and practical manner, including booking (and rebooking, unbooking) all travel, hotels, venues/restaurants, and ensuring trips are consistently smooth and seamless throughout while being mindful of directions, commuting time and ground transportation

• Supporting administrative aspects of leadership’s internal commitments: practice area activities, leadership committees, recruiting, processing timesheets and expenses on a timely basis, etc.

Benefits:

• Competitive salary and pre-IPO stock options

• 100% company-paid medical, dental and vision insurance (for employee)

• Optional HSA and FSA medical reimbursement accounts

• Unlimited paid time off

• Generous leave programs for life events

Education Requirements:

• BS, MS or Ph.D in Machine Learning or Computer Science

Experience Requirements:

• 5+ years of experience in Software Development

• 1+ years of experience with generative AI development

• 4+ years experience in either Python, GoLang, Rust, etc.

Responsibilities:

• Building AI Agents that exist within and outside of the Unit21 platform to gather data and provide key insights on potential financial crimes

• Working closely with Product to understand customer needs and workflows to better automate them

• Defining and crafting a rich architecture of AI toolsets to create Agentic workflows that 10x customer productivity with high fidelity

• Drive continuous improvement of agentic workflows through data-driven insights and measurable outcomes

• Explore research papers to prototype and implement innovative techniques for enhancing AI agents.