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.

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

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:

• 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

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 startup salaries

• early-stage stock

• unlimited vacation

• medical/dental benefits

• flexible work environment

Education Requirements:

• Holds a BS or MS degree in Computer Science or a closely related Engineering discipline.

Experience Requirements:

• 3+ years of hands-on professional experience in the design, development, and successful deployment of intricate software systems, maintaining a benchmark of excellence.

Responsibilities:

• Leadership in Product Development: Take charge of crafting and developing the critical components of Auditoria’s offerings, utilizing state-of-the-art technology within the AWS cloud ecosystem.

• Cross-Functional Collaboration: Engage in cohesive teamwork across various departments and time zones, ensuring the delivery of high-quality solutions aligned with our strategic roadmap.

• Business Partnership: Forge meaningful partnerships with business units to consistently deliver added value to our clientele.

• Cultural Advocacy: Act as a stalwart promoter of the principles and technological ethos that define Auditoria.

Responsibilities:

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Benefits:

• Meaningful equity

• Fully paid health care

• Sweet off-sites

• Mobile phone service paid

• Unlimited PTO

Experience Requirements:

• At least 3 years of experience as a software engineer

Other Requirements:

• Fluent in computer science fundamentals and architecture design patterns

• Familiarity with React and Python

• Familiarity with JVM languages - Java, Scala, scripting languages - Node.js, Typescript

• Experience implementing and working with message queue systems (Redis, Kafka, MQTT)

• Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems

• Some expectation of on-call platform support

Responsibilities:

• help implement and bring to market core features on Zing Data’s platform for GenAI business intelligence that is collaborative, easy, and works on iOS, Android and the web

• working on interesting features on our query intelligence, distribution engine that help our users get near instant response times.

• work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA and Anthropic to build amazing user experiences that make complex data analysis as easy as asking a question.

Benefits:

• competitive compensation

• sweet offsites

• company-provided health insurance

• mobile-phone reimbursement

• culture of learning and growth

Experience Requirements:

• 3+ years of experience designing mobile and web applications which are are used at scale

Other Requirements:

• Familiarity with responsive design

• Strong familiarity with Figma, Photoshop, CSS, HTML, and ideally After Effects

• Working knowledge of data (querying, visualization, SQL, etc.)

• A great portfolio

• Extreme ownership - you're driven to proactively solve problems, learn new things, and work hard to hit ambitious targets

• A great time player - you work well with others while productively pushing everybody to do their best work

Responsibilities:

• help re-imagine how people use and understand data on mobile and the web.

• design whole new ways for people to query data, create visualizations, and collaborate with data.

• create never-seen-before interactions that delight and inform users and take things that are hard (complex queries, joins, statistical significance) and make them simple and beautiful.

Benefits:

• Health, vision, and dental benefits

• Unlimited vacation

• Frequent team meet-ups in different parts of the world

• Equity options

Experience Requirements:

• Senior level experience with Python

• Senior level experience with backend Cloud services and Dev Ops

• Experience with deploying and serving of ML modes for inference

• Infrastructure as Code (IAC), Distributed Service Deployment, CI/CD, Docker

• Understands how to identify and fix performance bottlenecks

Other Requirements:

• Audio and FFMpeg experience

• ML experience

• Nvidia Triton Server, Kubernetes

• NodeJS, Javascript, Typescript

• RDS, Elasticache, PostgreSQL, Redis

• AWS CDK, ExpressJS, FastifyJS, Prisma JS, React

• Github Actions, AWS, DataDog

Responsibilities:

• Working with research team to deploy and optimize new ML models and architectures

• Update our python logic to improve our processing performance to work at scale

• Improve our processing pipeline to improve speed and reliability

• Inspecting and debugging Python code

• Improving our current backend and infrastructure code built with Python and NodeJS/Typescript languages Utilize the AWS CDK to update and maintain our cloud infrastructure Assist with efforts to deploy new infrastructure for new services Dynamically create and maintain our systems architectures in AWS via code using AWS libraries (Python and Javascript) Assist with brainstorming, writing documentation, and creating diagrams for our new architectural changes Help to maintain and improve the security and reliability of our services and ensure good engineering practices in compliance with our security policies

Experience Requirements:

• Proven track record of working with large-scale LLM and Deep Learning systems

• Strong programming skills, with a preference for versatile individuals

Responsibilities:

• Design and implement large-scale data pipelines that feed billions of high-quality tokens into LLMs

• Scale and distribute LLM training infrastructure to maximize efficiency

• Optimize evaluation pipelines to ensure accuracy and reliability

• Enhance inference infrastructure to reduce serving cost and latency while maintaining 99.9% uptime

• Continuously improve LLM performance and accuracy

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Free gym benefit

• Free lunches and fancy espresso machine in the office

• Company events including happy hours, sauna/cold plunge wellness retreats, Barrys bootcamp, and snow trips

Experience Requirements:

• 3+ years

Responsibilities:

• Architect and build cutting-edge AI data extraction systems

• Work directly with customers to tackle their toughest data challenges often with creative solutions

• Push the boundaries of AI tech and stay on the cutting edge of LLM developments.

• Own projects end-to-end from working with founders or customers on the product proposal, architecting, building, evaluating and testing, shipping to prod, and integrating with customers

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Basic SQL understanding

• Initiative to locate data sources

Other Requirements:

• Work with 3rd parties

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client operations

• Client stakeholder mapping and management

• Product deployment planning

• Structured Data sourcing, ingestion, validation, testing for our RealTime Factory OEE product

• Structured Data sourcing for Allie ML

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Initiative to locate data sources

• Work with 3rd parties

Other Requirements:

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Basic SQL understanding

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client workflows

• Client stakeholder mapping and management

• Product deployment planning

• Data sourcing

• Data loading