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

Benefits:

• Remote-first

• Generous PTO

• Great Culture

• Amazing Benefits

• Career growth

Benefits:

• Remote-first

• Generous PTO

• Great Culture

• Amazing Benefits

• Career growth

Benefits:

• Remote-first

• Generous PTO

• Great Culture

• Amazing Benefits

• Career growth

Benefits:

• Remote-first

• Generous PTO

• Great Culture

• Amazing Benefits

• Career growth

Benefits:

• Remote-first

• Generous PTO

• Great Culture

• Amazing Benefits

• Career growth

Responsibilities:

• Build personalization engines

• Build generative models

• Build dashboards

• Build forecasting models

• Build chatbots

Benefits:

• 0.2% - 1.2%

Experience Requirements:

• 6+ years

Responsibilities:

• Create novel CV features that unlock new forms of video manipulation

• Build ML pipelines that understand and modify humans in video

• Transform research breakthroughs into production capabilities

• Design systems that make complex AI feel like magic to users

• Pioneer new approaches to fine-grained video control

Benefits:

• 0.1% - 1.2%

Experience Requirements:

• 6+ years

Benefits:

• 0.1% - 1.5%

Experience Requirements:

• 3+ years

Benefits:

• Comprehensive health, dental & vision plans

• Flexible paid time off

• 401K plans

• Remote-friendly

• Commuter benefits

Experience Requirements:

• 3+ years experience working as a Developer Advocate, Data Scientist, AI/ML Engineer, Solutions Engineer, or technical Product Manager/Marketer

Other Requirements:

• Working knowledge of generative AI, machine learning, and data science

• Technical experience with the LLM app development stack (e.g. agents, orchestration frameworks, vector databases, evaluation libraries) with proficiency in Python

• Engaged in technical communities via GitHub, Medium, DZone, Stack Overflow, Reddit, LinkedIn, etc.

• A data-driven creative who thrives in ideating and delivering on novel activities that earn the attention and trust of AI/ML practitioners

• A self-learner who isn’t daunted by technical complexity and welcomes the challenge to develop their own POV

• Excellent written and verbal communication

• Willingness to attend evening meetups and events in the SF Bay Area

Responsibilities:

• Create visibility of Arize and Phoenix content through thought-provoking daily technical content that is pushed out through AI community whether twitter, linkedin and reddit

• Build connections to Arize and Phoenix through viewership and consumption of AI related materials

• Build research, content and video snippets that resonate in the AI community and are related to Arize in areas of Evaluation, AI Assistants, AI Agents and AI Applications.

• Write code, build AI applications and write cookbooks that demonstrate the Arize product lines or other ecosystem tools that can be spread in the AI community

• Write the book on AI social marketing on how to turn consumption of AI content into OSS product usage & awareness

Benefits:

• Tight-knit, in-person team of PhD battery scientists and software engineers

• HQ in downtown San Francisco

• Work remotely from anywhere for up to four weeks per year

Experience Requirements:

• Want to push themselves to achieve extraordinary things

• Care strongly about helping our customers to succeed

• Feel a deep sense of pride over their craft

Benefits:

• Tight-knit, in-person team of PhD battery scientists and software engineers

• HQ in downtown San Francisco

• Work remotely from anywhere for up to four weeks per year

Experience Requirements:

• Want to push themselves to achieve extraordinary things

• Care strongly about helping our customers to succeed

• Feel a deep sense of pride over their craft

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• 5+ years of product management, product development, or prior experiences in strong product management functions that have involved building and shipping products to market

• Experience with the PM tech stack

• Experience using quantitative and qualitative data to inform product prioritization and decision-making

• SaaS experience, technical fluency

Other Requirements:

• Excellent written and verbal communication skills

• Experience in product operations

• Ability to wear many hats and pivot based on company needs

• Excitement and curiosity about taking on new and varied responsibilities in a fast-growing, dynamic organization

• Authorized to work in the US

Responsibilities:

• Familiarizing yourself with customer workflows, pain points, and objectives by using your curiosity

• Crafting exceptionally clear product requirements (written and visual), and managing product roadmaps and OKRs

• Managing the entire product development lifecycle for your products to ensure the right products are prioritized, built, shipped, marketed and adopted

• Interfacing and collaborating with multiple stakeholders to communicate the vision, end goal and help ship products to market

• Crafting and measuring quantitative metrics and KPIs to determine the delivered value, product usage, and customer satisfaction

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• 7+ years of experience

Other Requirements:

• Expert level proficiency in languages like Python, Java, C#, C++, Scala, etc.

• Strong data structures, algorithms, and OO software design and implementation skills

• Ability to learn and operate across full stack

• Experience as a creative and strategic thinker

• A “get stuff done” attitude

• A track record of successfully influencing product direction

• Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers

• Authorized to work in the US

Responsibilities:

• Strategy: using your experience and understanding of how ML and NLP features are built to achieve state of the art results in real products, you will generate data-driven insights on how to evolve capabilities of Relyance AI

• Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets; partner, align, and collaborate with other engineering teams to implement features end to end, in particular throughout data engineering systems such as Airflow, VertexAI, BigQuery, etc.; or the Relyance backend

• Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to incorporate state of the art NLP and ML techniques; continuously look for opportunities to automate and build tools to lower operational barriers

• Being a key member of the team solving its most complex problems with the simple, pragmatic solutions

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• Experience building compilers or static code analysis tooling

• Strong software engineering experience and a firm grasp of CS fundamentals, data structures, and algorithms

• Experience building distributed/scalable backend infrastructure with a micro-services first design

• A high standard for production system quality

• Ability to demonstrate and incrementally build 100% confidence in all the layers/components you develop

Other Requirements:

• A deep sense of appreciation for the test-driven development methodology

• A self-directed environment with full ownership to design features end-to-end from scratch and the accountability that comes along

• Authorized to work in the US

Responsibilities:

• Designing and implementing a high-performance static code analysis service

• Working with Data Scientists/ML engineers to improve precision, robustness, and scalability of traditional static analysis algorithms using ML techniques

• Experimenting, prototyping, measuring, and making data-driven technology stack decisions

• Architecting and implementing microservices-based systems for distributed computing environments

• Leveraging strong CS fundamentals, data structures, and algorithms to solve complex engineering challenges

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• 5+ years of experience in HR, with a strong focus on HRBP roles

• Proven track record of success in implementing HR strategies and initiatives that drive business results

• Strong understanding of employment laws and regulations

Other Requirements:

• Ability to build strong relationships with people at all levels of the organization

• Strong analytical skills and the ability to use data to inform decision-making

• Experience with HRIS systems (e.g., Namely)

Responsibilities:

• Collaborate with business leaders to understand their strategic goals and develop HR strategies to support them

• Provide strategic HR consulting on a wide range of people-related issues, including performance management, compensation and benefits, employee relations, and organizational development

• Drive initiatives to enhance employee experience, including onboarding, offboarding, employee engagement programs, and learning and development opportunities

• Foster a positive and inclusive work culture that empowers employees to thrive

• Implement and manage performance management processes