About The Team

The UX Research team includes customers in the development process from early discovery through post-launch. We work with multiple stakeholder teams across the lifecycle to ensure the customer experience is very well balanced with product monetization.

About The Role

Roku is looking for a Researcher to primarily work on customer sentiment surveys conducted in conjunction with product A/B tests, as well as other quantitative research tasks. This role requires collaboration with multiple cross-functional partners, including Product Management, Data Analytics, Engineering, Design, and other researchers. This role provides the opportunity to work on projects that will be seen and enjoyed by millions of customers in a capacity that supports major decision-making on new products and features.

For California Only - The estimated annual base salary for this position is between $90,000 - $120,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What You’ll Be Doing

• Developing, planning, and executing research initiatives to understand what impacts product and feature sentiment, most often in the context of experimental A/B tests
• Being an active collaborator on the design of experimental A/B tests
• Working closely with a wide variety of Product Managers, Data Analysts, and others to identify the problems and business goals that your research will address
• Collecting and analyzing user sentiment through surveys, and working with others to combine these findings with behavioral data, to inform product decisions
• Effectively present research insights to diverse stakeholder audiences through written reports and live presentations
• Understand and confidently communicate the strengths and weaknesses of different experimental designs, different research approaches, and the findings of your research studies
• Optimize and automate repetitive research processes to drive efficiency and scale the sentiment survey program
• Additionally, conduct other quantitative research to help Roku better understand the needs, pain points, and experience of customers (potentially involving ongoing tracker surveys)
• Collaborate with fellow world-class user researchers internationally and the Director of UX Research

We’re Excited If You Have

• Proven skills with survey design, quantitative analysis, and experimental designs
• Experience building with AI (Claude Code, CoPilot, or similar)
• Ability to effectively work with the wider business at Roku, such as data analysts and other UX researchers, to incorporate their data into cross-functional reporting and recommendations
• Confidence to make recommendations to experiments being run by others
• Strong communication, presentation, interpersonal, and analytical skills
• Persuasive presentation skills, reporting both qualitative and quantitative data
• Strong project management skills with the ability to define, plan, and execute projects across a wide range of product areas
• Ability to support timely communication and connection across multiple time zones
• Ability to leverage AI to streamline research processes and deliverables
• A passion for researching and understanding people
• 2-3 years of expertise as a consumer researcher in an industry setting
• Bachelor’s or Master’s Degree in related fields, such as Human Computer Interaction, Psychology, Sociology, Anthropology, Market Research

Extra Points If You Have

• Experience with more advanced survey/analysis techniques, such as MaxDiff, Conjoint, etc.
• Experience with qualitative UX research methods, allowing you to work on other project types as needed

#LI-SB5

About The Team

The UX Research team includes customers in the development process from early discovery through post-launch. We work with multiple stakeholder teams across the lifecycle to ensure the customer experience is very well balanced with product monetization.

About The Role

Roku is looking for a Researcher to primarily work on customer sentiment surveys conducted in conjunction with product A/B tests, as well as other quantitative research tasks. This role requires collaboration with multiple cross-functional partners, including Product Management, Data Analytics, Engineering, Design, and other researchers. This role provides the opportunity to work on projects that will be seen and enjoyed by millions of customers in a capacity that supports major decision-making on new products and features.

For California Only - The estimated annual base salary for this position is between $90,000 - $130,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What You’ll Be Doing

• Developing, planning, and executing research initiatives to understand what impacts product and feature sentiment, most often in the context of experimental A/B tests
• Being an active collaborator on the design of experimental A/B tests
• Working closely with a wide variety of Product Managers, Data Analysts, and others to identify the problems and business goals that your research will address
• Collecting and analyzing user sentiment through surveys, and working with others to combine these findings with behavioral data, to inform product decisions
• Effectively present research insights to diverse stakeholder audiences through written reports and live presentations
• Understand and confidently communicate the strengths and weaknesses of different experimental designs, different research approaches, and the findings of your research studies
• Optimize and automate repetitive research processes to drive efficiency and scale the sentiment survey program
• Additionally, conduct other quantitative research to help Roku better understand the needs, pain points, and experience of customers (potentially involving ongoing tracker surveys)
• Collaborate with fellow world-class user researchers internationally and the Director of UX Research

We’re Excited If You Have

• Proven skills with survey design, quantitative analysis, and experimental designs
• Experience building with AI (Claude Code, CoPilot, or similar)
• Ability to effectively work with the wider business at Roku, such as data analysts and other UX researchers, to incorporate their data into cross-functional reporting and recommendations
• Confidence to make recommendations to experiments being run by others
• Strong communication, presentation, interpersonal, and analytical skills
• Persuasive presentation skills, reporting both qualitative and quantitative data
• Strong project management skills with the ability to define, plan, and execute projects across a wide range of product areas
• Ability to support timely communication and connection across multiple time zones
• Ability to leverage AI to streamline research processes and deliverables
• A passion for researching and understanding people
• 2-3 years of expertise as a consumer researcher in an industry setting
• Bachelor’s or Master’s Degree in related fields, such as Human Computer Interaction, Psychology, Sociology, Anthropology, Market Research

Extra Points If You Have

• Experience with more advanced survey/analysis techniques, such as MaxDiff, Conjoint, etc.
• Experience with qualitative UX research methods, allowing you to work on other project types as needed

#LI-SB5

About the team 

Great user experiences come from people who have the vision to see the big picture while still maintaining an incredible attention to detail. The User Experience team at Roku comprises UX designers, researchers, and writers who work collaboratively with our world-class Product and Engineering teams to meet customer needs for a Roku experience that delivers simplicity and delight. The UX Research sub-team is a tightly knit horizontal resource within the larger UX team at Roku. 

About the role 

This role is dedicated to Roku TV (RTV). You’ll join the team shaping the vision and execution of our TV products and features, ensuring they continue to set the global benchmark for performance and ease of use. 

Roku is hiring an experienced UX Researcher to lead high-impact research across our full TV portfolio. In this role, you’ll deeply understand how people interact with Roku devices and ensure a cohesive, simple experience across partner brands and device tiers. You’ll operate at the crucial intersection of physical hardware and the Roku OS. Your insights will uncover user needs and pain points and directly drive the evolution of new TV experiences - from out-of-the-box setup and hardware performance to picture quality optimization and the future of TV hardware - making a tangible, visible impact across Roku’s most widely used experiences. 

You’ll partner closely with Product Management, Design, and Engineering to align research with technical roadmaps and business priorities, turning insights into decisions that ship. Together, you’ll ensure Roku delivers a simple, delightful entertainment experience that is grounded in user needs and felt across every TV we build.  

For California Only - The estimated annual base salary for this position is between $140,000 - $150,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you'll be doing 

• Develop, plan, and execute research initiatives in collaboration with UX Research managers, other UX researchers, product managers, leaders at Roku, UX and visual designers, and others 
• Utilize your research insights to influence the selection, definition, and design of product offerings that maximize engagement, leading to high customer retention 
• Collect and analyze user behavior through both generative and evaluative methodologies 
• Effectively present research insights to diverse stakeholder audiences through written reports and presentations 
• Work closely with multiple key stakeholders to identify the problems and business goals that your research will address 
• Be a deeply embedded member of product teams, while also being a strong collaborator on the UX research team 

We’re excited if you have 

• 2 to 3 years' experience as a UX Researcher in industry settings (not including academic experience)
• Experience building with AI (Claude Code, CoPilot, or similar)
• Proven skill with a broad methodological toolkit, including interviews, usability testing, surveys, field studies, diary studies, and quantitative analysis 
• Confidence in selecting the most appropriate methods for a given problem or question 
• Experience collaborating with teams of business leaders, designers, researchers, and product managers throughout the planning and development process 
• Experience gathering and understanding business strategy, and finding the right balance between user and business needs 
• Excellent communication, facilitation, presentation, interpersonal, and analytical skills 
• Experience with mixed methods research 
• Strong project management skills with the ability to define, plan, and lead projects forward 
• Experience in the entertainment field, working with teams producing TV/Movies, is a plus 
• An ability to operate with appropriate guidance: You have experience contributing to and, when appropriate, leading parts of the research approach for whole products, including multi-phase planning; building relationships with stakeholders and including them in the process; and proactively suggesting research needs/methods in partnership with your manager and cross-functional teammates 
• Comfortable with accepting guidance from UX Research managers or senior-level researchers to optimize the research approach, as well as from non-research stakeholders 
• A passion for researching people 

#LI-SB5

Qui nous sommes
Fondée en 2005, 2K Games est une entreprise internationale de jeux vidéo, éditant des titres développés par certains des studios de développement les plus influents au monde. Nos studios, responsables du développement du portefeuille de jeux de classe mondiale de 2K sur plusieurs plateformes, incluent Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber et HB Studios. Notre portefeuille de titres s’élargit grâce à notre plan stratégique mondial ainsi qu’à la création et à l’acquisition de studios novateurs dont les contenus continuent d’inspirer des millions de joueur·euse·s à travers le monde ! 2K publie des titres dans les genres de jeu les plus populaires : jeux de sport, jeux de tir, de rôle, d’action, de stratégie, ainsi que des jeux occasionnels et familiaux.

Notre équipe d’ingénieur·e·s, de spécialistes du marketing, d’artistes, de scénaristes, de scientifiques de données, de producteur·rice·s, de penseur·euse·s et de personnes d’action constitue le pilier éditorial professionnel de notre bibliothèque croissante de franchises acclamées par la critique telles que NBA 2K, BioShock, Borderlands, Mafia, Sid Meier’s Civilization, Tiny Tina’s Wonderlands, WWE 2K et XCOM.

Chez 2K, nous sommes fier·ère·s de créer un environnement de travail inclusif, ce qui signifie encourager les membres de nos équipes à venir tel·le·s qu’ils·elles sont et à se dépasser ! Nous encourageons la diversité et l’inclusion et voulons que notre communauté de candidat·e·s reflète cet engagement. Nous encourageons toutes les personnes qualifiées à explorer nos opportunités à l’échelle internationale.

2K a son siège social à Novato, en Californie, et est un label détenu en propriété exclusive par Take-Two Interactive Software, Inc. (NASDAQ : TTWO).

Ce dont nous avons besoin
2K est à la recherche d'un·e Chercheur·euse sénior·e hautement qualifié·e et expérimenté·e pour rejoindre l'équipe Recherche et perspectives (Research & Insights). Vous jouerez un rôle essentiel en plaçant la voix du·de la joueur·euse au premier plan de l'organisation, en fournissant des perspectives et des recommandations qui influenceront chaque phase du développement — du concept initial jusqu'au lancement. Le·la candidat·e idéal·e possède une expérience éprouvée dans la conception et l'exécution de recherches primaires à plusieurs étapes du développement, sait travailler de manière transversale et conseiller les décisions clés concernant le produit, le marketing et la stratégie commerciale.

Ce poste est offert en mode hybride à partir de nos bureaux de Novato (CA), Los Angeles (CA) ou Montréal (Canada). Notre équipe se rend généralement au bureau 3 jours par semaine.

Ce que vous ferez 

• Contribuer à la stratégie de recherche globale pour le portefeuille de franchises clés de 2K.
• Bâtir des partenariats transversaux solides, assurer la rigueur méthodologique et générer un impact concret sur les produits.
• Établir et cultiver des relations avec des groupes diversifiés, allant des profils analytiques aux créatifs, ainsi qu'avec des équipes possédant différents niveaux d'expérience de collaboration avec des professionnel·le·s de la recherche.
• Identifier, concevoir et réaliser des études qualitatives et quantitatives sur les perspectives des consommateurs et/ou la recherche utilisateur (UX).
• Utiliser des méthodes de recherche innovantes pour découvrir des perspectives profondes sur les joueur·euse·s actuel·le·s et potentiel·le·s, nous aidant à comprendre leurs besoins, comportements et motivations.
• Recruter et gérer des fournisseurs de recherche tiers pour garantir une qualité de travail élevée.
• Intégrer les données provenant de plusieurs études et sources dans un récit cohérent avec des implications et des recommandations claires.
• Présenter les conclusions et les recommandations de recherche aux équipes de direction de manière claire et convaincante.
• Collaborer étroitement avec les organisations partenaires, incluant la recherche utilisateur (UXR), la science des données, la stratégie commerciale et la communauté.

Ce qui fera de vous un bon candidat

• Plus de 4 à 6 ans d'expérience en recherche utilisateur, étude de marché ou perspectives consommateurs, que ce soit chez le client ou en agence de recherche.
• Un historique d'impact démontré (la recherche comme outil de décision, pas seulement pour la forme).
• Expérience dans la conduite personnelle de recherches primaires qualitatives et/ou quantitatives (signifiant que vous avez réalisé la recherche vous-même plutôt que de gérer un fournisseur tiers).
• Fortes compétences analytiques et statistiques; l'expérience avec des logiciels quantitatifs/statistiques (ex. : SPSS, SAS, R, Q, Python, Tableau) est un atout.
• Excellentes habiletés de communication (verbale et écrite) et aisance à présenter des informations en groupe ou individuellement.
• Fortes compétences interpersonnelles; capacité à travailler avec une variété de personnalités, de compétences, de zones géographiques et de niveaux hiérarchiques.
• Aisance avec l'ambiguïté et le changement; capacité à fonctionner avec un minimum de direction ou de supervision lorsque nécessaire.
• Pensée indépendante; capacité à recevoir des directives, à recueillir des commentaires de sources multiples et à tracer une voie alliant conviction, humilité et ouverture à l'évolution.
• Capacité à voyager, tant au pays qu'à l'international.

Atouts

• Diplôme de deuxième ou troisième cycle (Maîtrise, Ph.D. ou autre diplôme avancé) en interaction humain-machine, psychologie, sociologie, anthropologie, sciences cognitives ou dans un domaine connexe.
• Expertise en accessibilité, inclusion et représentation dans les jeux.
• Expérience de travail dans une organisation d'envergure mondiale et/ou dans un rôle client ou B2B, avec une mentalité de service à la clientèle.
• Intelligence émotionnelle exceptionnelle avec une capacité démontrée à travailler avec des équipes diversifiées tout au long du cycle de vie du produit.
• Volonté d'apprendre et de faire le pont entre les perspectives des consommateurs et l'expérience utilisateur (UX).

En tant qu’employeur garantissant l’égalité d’accès à l’emploi, nous nous engageons à faire en sorte que les personnes en situation de handicap qualifié·e·s bénéficient d’aménagements raisonnables nécessaires pour participer au processus de demande d’emploi ou d’entrevue, pour s’acquitter de leurs fonctions essentielles et pour recevoir d’autres avantages et privilèges d’emploi. Veuillez nous contacter si vous avez besoin d’aménagements raisonnables.

Veuillez noter que 2K Games et ses studios n’utilisent jamais d’applications de messagerie instantanée ni de comptes de messagerie personnels pour contacter des candidat·e·s ou mener des entrevues. Tous les courriels envoyés proviennent uniquement de comptes @2K.com.

________________________________________________________________________________________________________________________________________________________________________________

Who We Are

Founded in 2005, the 2K label includes some of the most talented game development studios in the world today including: Firaxis Games, Visual Concepts, Hangar 13, 2K Czech and Cat Daddy Games.  Our world-class team of engineers, developers, graphic artists and publishing professionals are stewards of a growing library of critically acclaimed franchises such as Battleborn, BioShock, Borderlands, The Darkness, Mafia, NBA 2K, Sid Meier’s Civilization, WWE 2K, and XCOM. 2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). 

2K develops and publishes interactive entertainment globally for console systems, handheld gaming systems and personal computers, including smartphones and tablets, which are delivered through physical retail, digital download, online platforms, and cloud streaming services. 2K publishes titles in today’s most popular gaming genres, including shooters, action, role-playing, strategy, sports, casual, and family entertainment

Our vision at 2K is to create a diverse and inclusion environment to “Come as You are and Feel Equipped to do Your Best Work!” We are dedicated to promoting diversity, multiculturalism, and equality in all that we do. Our communities are focused on increased access and personal growth, and their greatness depends on a diversity of race, gender, sexual orientation, religion, ethnicity, national origin, and perspective. We're an equal opportunity employer, and we're excited to build the future of co-living with the world's most hardworking and passionate people.

What We Need

2K is seeking a highly skilled and experienced Senior Researcher to join the Research & Insights team. You will play a critical role in bringing the voice of the player to the forefront of the organization, providing player insights and recommendations that inform every phase of development - from game concept through launch. A successful candidate will have a consistent track record of designing and executing primary research at multiple phases of development, working cross functionally, and advising key decisions around product, marketing and commercial strategy.

This role will work onsite in a hybrid capacity out of either the Novato, CA , Los Angeles, CA or Montreal, Canada location. Our team goes into the office usually 3 days a week. 

What You Will Do

• Contribute to holistic research strategy for 2K’s portfolio of core franchises
• Build  strong cross-functional partnerships, own methodological rigor and deliver product impact 
• Build and cultivate relationships with diverse groups, from the more analytically minded to more creative professionals, and teams with varying levels of experience working with insights professionals
• Identify, design, and complete qualitative and quantitative consumer insights and/or user research studies
• Use innovative research methods to uncover deep insights into current and prospective players, helping us understand their needs, behaviors, and motivations
• Hire and manage 3rd party research vendors to ensure a high quality of work
• Integrate insights from multiple studies and sources into a cohesive narrative with clear implications and recommendations
• Present research findings and recommendations to senior teams in a clear and compelling manner
• Collaborate closely with partner organizations including User Research (UXR), Data Science, Business Strategy and Community

Basic Qualifications

• At least 4-6 years of experience in user research, market research or consumer insights, either client-side or at a research agency
• A consistent track record of impact (not research for the sake of it)
• Experience personally conducting qualitative and/or quantitative primary research (meaning you did the research as opposed to managing a vendor / 3rd party who did it)
• Strong analytical and statistical skills, with bonus points for experience with quantitative / statistical software (e.g. SPSS, SAS, R, Q, Python, Tableau)
• Excellent communication skills (verbal and written), comfort presenting information in groups or 1:1
• Strong interpersonal skills; able to work with a variety of personalities, skills, geographies, and seniority levels
• Comfortable with ambiguity and change, ability to operate with minimal direction / supervision when needed
• Independent thinking; ability to take direction and gather input from multiple sources, and chart a path with a mix of conviction, humility, and openness to evolution
• Ability to travel, both domestically and internationally

What Would Make You A Great Fit

• Graduate degree (MA, PhD or other advanced degree) in Human-Computer Interaction, Psychology, Sociology, Anthropology, Cognitive Science, or a related field.
• Expertise in accessibility, inclusion, and representation in games
• Experience working in a global, enterprise-scale organization and/or in a client-facing or B2B role, with a customer service mentality
• Exceptional emotional intelligence with a demonstrated ability to work with diverse teams through the product lifecycle
• Eagerness to learn and connect the dots between consumer insights and UX

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

#LI-Onsite

As a Product Marketing Intern at Everlaw, you will play a pivotal role in shaping the future of our product portfolio by leading a strategic investigation into the AI legal tech market. You are a curious, analytical thinker who enjoys diving deep into complex industries, synthesizing technical information, and translating it into actionable business strategy. Your work will directly influence our "Right to Win" in a new market vertical, requiring you to balance high-level strategic research with daily tactical execution. You’ll bring a fresh perspective and a hunger to learn, helping us bridge the gap between product complexity and market-facing simplicity.

You will join the Product Marketing team, a cross-functional group of storytellers and strategists dedicated to bringing Everlaw’s cutting-edge legal technology to life. This role sits within a sub-team that focuses on exploring new frontiers for the Everlaw platform. Our team thrives on collaboration, data-driven decision-making, and a shared passion for helping legal professionals navigate the increasingly complex digital landscape.

Getting started

• We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
• We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.

In your role, you'll...

• Conduct a "Right to Win" market analysis to evaluate the AI legal tech market, including TAM/SAM sizing and regulatory trends.
• Perform deep-dive competitive audits against industry incumbents and AI-first disruptors to identify critical feature gaps.
• Develop a "Go/No-Go" recommendation deck and present your findings to C-level executives and the product and marketing leadership team.
• Curate a daily brief to keep the team informed on real-time news and trends in the industry. 
• Build a "Voice of the Customer" library by synthesizing insights from sales calls to help define our unique value propositions.
• Collaborate cross-functionally with Product, Engineering, and Sales to validate technical requirements and market feasibility.

About you

• You are currently pursuing a Bachelor’s degree in Marketing, Business Administration, or a related field.
• You are available for a 8-10 week full-time internship during the Summer 2026 cycle.
• You are a strong researcher with the ability to synthesize large amounts of data into clear, persuasive narratives.
• You are curious about the intersection of technology and law. 
• You are an excellent communicator, both in writing and in high-stakes presentation settings.
• You are proactive and comfortable working in an ambiguous, fast-paced "v1" environment.
• You are a collaborative teammate who values feedback and continuous learning.
• You have a basic understanding of, or a strong desire to learn about, B2B SaaS business models.
• You are authorized to work in the United States without restrictions. Please note that at this time, Everlaw is not sponsoring employment visas for this role.

Benefits

• Competitive Salary: This is a non-exempt role with an estimated hourly rate of $33.00 - $37.00/hr, depending on experience.
• Mentorship: Dedicated 1:1s with experienced PMM leaders and exposure to executive leadership.
• Work that Matters: Your project will directly impact the 2026 product roadmap and company strategy.
• Professional Development: Access to internal training sessions and a "learn-by-doing" approach to high-level product marketing.

Perks

• Oakland HQ: Work from our beautiful, vibrant office in downtown Oakland with a flexible, hybrid-friendly culture.
• Fully Stocked Kitchen: Enjoy catered lunches, a variety of snacks, and premium coffee to keep you fueled.
• Community & Culture: Engage with "Everlawyers" through various ERGs (Employee Resource Groups) and team-building events.
• Wellness Focus: Access to onsite amenities and programs designed to support your physical and mental well-being.

About the Role

We are looking for a Senior UX Researcher to join our rapidly growing Product org. You will help shape the future of the Fivetran data pipeline platform for businesses large and small. Our ideal candidate has a balance of research rigor and business focus. We value those that hit the ground running, leading by example on projects and collaborating well cross-functionally. You will be diving deep into the daily lives of our customers and applying that understanding to everyday product design decisions. 

As you talk with our team, your portfolio should contain case studies that demonstrate strong storytelling skills, use of effective research methodologies, and clear impact of your previous work.

Fivetran has a positive, diverse, and supportive culture. We appreciate Researchers who are curious, humble, think deeply, speak clearly, and thrive on collaboration and feedback. If this sounds like a good fit for you, send us a hello with links to your work and experience. On day one, this role will report to the Director of UX Research.

This is a full-time position based in our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team

What You’ll Do:

• Plan, manage, and execute on user research programs across focused product areas
• Collaborate with design, product, and analytics to build research projects that align with stakeholder needs as well as user needs.
• Guide product and design on the research methodology, question framing, and other best practices for self-run studies.  
• Identify emerging customer and user needs to support the development of new products.
• Synthesize learnings from past research and analytics data to tell compelling stories and lead ideation sessions.

Skills We’re Looking For:

• A strong experience with mixed method qualitative and quantitative research.
• A strong portfolio featuring examples of your work, your research philosophy, and the outcomes/results.
• Entrepreneurial and self-motivated with a bias toward action – there’s tons of greenfield opportunity here, and you’ll need to lean into the ambiguity and lead projects to completion.
• Ability to craft engaging presentations with engrossing stories that influence your peer stakeholders.
• A strong desire to learn about our user and how our product impacts their success.
• Experience in the data industry

Nice to Have:

• Experience with various survey methods, analysis, visualizations and relevant data tools like SQL.
• Experience using AI to plan studies, synthesize feedback, and work more efficiently.

#LI-HYBRID #LI-KM3

What You’ll Do:

As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a Staff AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $190,000 - $240,000 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a Principal AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $270,000.00 - $340,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders.

This role is hybrid, based out of Santa Clara, CA.  

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.”
• You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life.
• You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon.
• Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions.
• Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements.

What We Need

• Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager).
• Your field insight will help shape our roadmap, our features, and the way we show up for developers.
• Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow.
• Experience with embedded systems, FPGA Architecture or AI accelerators. Familiarity with hardware/software co-optimization is often critical for efficient inference at the edge.
• Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management.

What You Will Learn

• How to explore and push the boundaries of AI performance on custom silicon and help developers do the same.
• What it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between.
• To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale.
• An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

The Role:   

We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In this role you will contribute to generating original research and building internal research & analytics capabilities. As a valued member of the team, you will also employ our exclusive private markets data, along with macro trends and emerging themes in the space to generate unique content and insights for our clients, prospective clients, internal partners, and the public. This is an impactful role that will help build and shape Forge’s Research & Analytics functions.  

Location: This role requires a hybrid work schedule, with 2-3 days per week in our San Francisco, CA office to foster collaboration and teamwork.  

Responsibilities:  

• Utilize strong programming and data science skills to conduct unique research in support of our Data, Products and Marketing efforts  
• Work closely with team members and across Forge to identify, measure and communicate the trends and forces moving and shaping the venture-backed / pre-IPO equity market  
• Assist in the development of private market indices. Support index rebalancing and answer client queries related to index management and methodologies  
• Collaborate in the research and development of new models, data products, metrics, and insights  
• Maintain and enhance internal models and databases to ensure comprehensive coverage for our data universe  
• Aid data-driven content development and value proposition creation, collaborating across Markets, Marketing, Comms, and other Forge teams to prepare and publish thought-provoking, relevant, and timely research reports for clients and stakeholders  
• Assist with inbound and outbound ad-hoc data requests and analysis for content and communications  
• Partner closely with our product, sales, and marketing functions by driving content development and value proposition creation  
• Help identify new unique data points to support research and enhance our research and product offerings  

Qualifications:   

• 6-10 years of relevant work experience (e.g., research, data science, data analytics) in the public or private equities markets. 
• Undergraduate and Masters degrees in finance, economics, statistics, mathematics, engineering or a related field. 
• Excellent communication and presentation skills: able to translate and communicate quantitative information effectively to non-technical audience.  
• Strong internal partnership skills: ability to proactively suggest content ideas and collaborate with peers to execute, as well as respond to requests/ideas from partners and shape Forge’s response  
• Exceptional attention to detail  
• Strong interest in private investing and venture-backed companies Highly competent programmer: Python, AI/ML & Advanced SQL highly desirable. 
• Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication 

Preferred Qualifications: 

• Professional writing experience 
• Index management knowledge 
• Experience building agentic workflows 

For residents of San Francisco/Bay Area, CA the annual salary range for this role is $170,000 - $220,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, annual bonus, and other factors.

HR Business Partner

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. 

We are a small team of scientists, engineers, and builders who've created some of the most widely used AI products including ChatGPT, Character.ai, and PyTorch. As we scale our team, some of the hardest challenges we face are about empowering and aligning our people and helping our managers make crucial decisions under uncertainty.

About the Role

The new role of HR Business Partner will combine two tasks: leadership coaching, and people systems design. The two require different skillsets, but a shared vision for managing talent.

You will coach managers at Thinking Machines Lab to be more effective leaders. You will provide strategic support on researcher and engineer performance, team dynamics, and personal growth. You will also build the people infrastructure that will scale this support as the company grows: performance and feedback systems, compensation structures, and career frameworks.

What You’ll Do

• Coach managers by observing how they lead, identifying strengths and blind spots, and working on continuous improvement.
• Advise leadership on organizational decisions: team structure, succession planning, and strategic people choices that shape how we work.
• Design compensation structures that let us compete for the best machine learning talent in the world while staying aligned on values and principles.
• Create career/leveling frameworks that work for a research lab where career advancement often doesn’t mean managing people, contributions such as mentorship and taste are harder to measure, and where senior researchers expect to grow and learn even after a decade in the role.
• Build feedback and evaluation processes that help people improve, not just get measured.

Skills and Qualifications

Minimum qualifications:

• 5+ years experience working as a people leader or HR business partner in a high-growth technical environment.
• Fluency with employment law and best practices in North America.
• Proven track record of developing HR practices and supporting a diverse set of talent.

Preferred qualifications:

We encourage you to apply even if you don’t meet all preferred qualifications.

• 10+ years experience as a people leader or HR business partner.
• Experience in setting up novel systems that scale in a fast-growing company.
• Coaching experience that showcases a skill set in providing confidential support, motivating improvement, and conflict resolution.
• Track record of supporting a high trust and low ego environment for high caliber talent with strong retention and growth.

Logistics

• Location: This role is based in San Francisco, California. 
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $190,000 - $300,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
• As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

About the Role

At Headway, we’re building the largest national network of therapists who accept insurance — and making mental healthcare radically more accessible in the process. Our ability to serve patients starts with providers. As Staff Researcher for Provider Growth, you’ll lead research to inform the product vision, strategy, and execution for how we attract, onboard, and activate providers on Headway. 

In this role, you will be a strategic partner, utilizing a mixed-methods approach to uncover critical insights about our Providers. You will conduct research to inform business, product, and marketing strategies, helping us identify and unlock significant growth and differentiated product opportunities. You’ll be responsible for foundational insights and developing a nuanced understanding of diverse provider segments—practice starters vs. veterans, therapists vs. prescribers, solo vs. group practices—each with different needs, painpoints, and behaviors. You’ll share insights and make recommendations about when to personalize and when to unify, helping the team build solutions that flex to serve unique segment needs while maintaining a coherent, unified Headway experience. You'll operate with high autonomy and ownership, presenting regularly to executive leadership including our CEO and making bold recommendations backed by clear, evidence-driven rationale.

Provider growth is one of Headway’s most important levers for scaling access to affordable mental healthcare. Whether it's building a world-class referrals engine, optimizing conversion through onboarding, or laying the groundwork for future market expansion, this role is at the heart of Headway’s growth story — and critical to advancing our mission. This is a pivotal role for both Headway and our mission to make mental healthcare more accessible.

Core Responsibilities

• Lead end-to-end research projects, from identifying key questions and scoping research plans to conducting the work, synthesizing findings, and presenting actionable recommendations to stakeholders across the business.
• Employ a mixed-methods research skillset, combining quantitative data (surveys, A/B tests, behavioral analytics) with qualitative insights (IDIs, ethnography, concept testing) to develop a comprehensive understanding of how providers source, add, convert, and retain patients.
• Identify and size growth opportunities by analyzing provider behavior, patient sourcing patterns, and competitive dynamics. You will be expected to think critically about what's next for Headway and how we can best build a new mental healthcare system that everyone can access.
• Act as a strategic thought partner to product, design, and marketing teams working on the Provider growth journey, helping them define problem spaces, understand provider segments, and inform the development of new features, products, and campaigns.
• Drive a culture of research and user-centricity across the pod and broader organization by evangelizing findings and promoting a deep understanding of our diverse provider segments and their patients.
• Mentor and provide guidance to junior researchers, helping to build and scale our research practice.

Key Skills and Qualifications

• A PhD + 3 years of industry research experience (ideally with experience in a fast-moving tech environment)
• Or a Masters + 6 years
• Or a Bachelors + 8 years
• Expertise in both qualitative and quantitative research methodologies.
• A demonstrated ability to identify and frame business problems and opportunities, with a portfolio of work that shows direct impact on growth metrics.
• Experience in 0-1 product development.
• Strong analytical and critical thinking skills, with the ability to turn complex data and observations into clear, compelling narratives.
• Excellent communication and presentation skills, with the ability to influence and collaborate with diverse teams—up to and including executive leadership.
• A self-starter who is innately curious about human behavior and passionate about solving complex problems.

Compensation and Benefits:

The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

Scopely is hiring a Senior Researcher to join our Research & Insights team, supporting an exciting Unannounced Title in collaboration with External Development. This role can be based in Culver City (hybrid) or remotely within the US.

At Scopely, we care deeply about what we do and want to inspire play every day – whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who develop, publish, and innovate in the mobile games industry, connecting millions of people around the world daily.

We are in the early stages of development on an ambitious, unannounced AAA mobile game, and we’re assembling a team of passionate game makers to craft unforgettable environments and immersive adventures that players will love.

We are looking for a best-in-class researcher who embodies Scopely’s Care Deeply, Iterate to Greatness, and Play to Win tenets – someone who takes ownership, moves with efficiency, and holds themselves to a high standard of impact. In this role, you will be expected to deliver actionable insights that meaningfully influence product direction, player experience, and business outcomes.

The ideal candidate has a passion for games and a strong foundation in mixed-method research (e.g., surveys, usability playtests, IDIs, focus groups) and can partner effectively with cross-functional stakeholders to meet the needs of the business.

What You Will Do:

• Lead research initiatives to drive a deeper understanding of the player experience across game development and live operations
• Design, execute, and present high-impact quantitative and qualitative research studies in partnership with research operations and cross-functional teams (e.g., Game Design, UX
• Design, Product Management, Production, Marketing, Data Analytics)
• Own usability research end-to-end, including screener and survey design, recruiting, script development, moderation, analysis, presentation of findings, and budget
• Manage external research partners, ensuring cost-effective methods with clear objectives and timely and actionable results
• Partner with the game development and central strategy teams, including leadership, on research results, KPIs, and potential solutions to player-identified problems in the product experience
• Collaborate with the Research & Insights team to evaluate new methods, evolve our toolkit and best practices, and provide ongoing mentorship

What We Are Looking For:

• Bachelor’s degree required, preferably in Psychology, Human-Computer Interaction, Game Design, Social Science, or a related field; MBA, Master’s, or PhD preferred.
• 6+ years of experience conducting research in gaming at either a developer/publisher or research agency
• Passion for mobile games and a strong understanding of core loops and monetization models
• Proven track record for designing and executing a range of high-impact qualitative and quantitative research studies for games in development
• Experience working with and managing external research vendors
• Strong interpersonal, analytical, and project management skills
• Ability to build trust, influence cross-functional partners, and guide decision-making through insights
• High attention to detail, intellectual curiosity, and comfort tackling complex questions
• Familiarity with online survey tools (e.g., Decipher, Qualtrics, SurveyGizmo/Alchemer) and remote testing platforms (e.g., PlaytestCloud, UserZoom, UserTesting) is a plus
• Experience with analytics tools such as SPSS and SQL is a plus
• Proficiency in both Mandarin & English is preferred
• Quarterly or more frequent international travel, including China, required
• Monthly travel for in-person research at our LA-based Lab is required

Please ensure that the résumé/CV you attach is written in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! 

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into new technologies for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain. 

As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.

Responsibilities

• Design and develop state-of-the-art deep learning methods for protein sequence, structure, and function prediction and apply them to protein design
• Curate relevant datasets and design tasks for rigorous evaluation of generative models 
• Collaborate with Biology team to design and characterize novel designed biomolecules
• Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
• Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Qualifications

• PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
• Experience with conceiving of, implementing, and evaluating novel machine learning techniques
• Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
• Experience with modern deep learning frameworks such as Pytorch or Jax

Preferences (but not required)

• Familiarity with foundational biology of proteins and nucleic acids
• Experience developing machine learning models for proteins (language models, structure prediction, design)
• Previous experience in data extraction and curation from bioinformatics data sources
• Familiarity with wet lab experimental assays and associated limitations
• Experience with cloud compute platforms (GCP, AWS, Azure)

What We Offer

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• 401(k) with a strong employer match
• Comprehensive benefits including health/dental/vision insurance
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

Design @ Zuora

For over 15 years, Zuora has led the way in subscription management. Our platform has evolved through multiple technology stacks and acquisitions, which means there’s incredible diversity in our application—and also a tremendous opportunity to unify and elevate our UX standards.

The Opportunity

Be our first dedicated UX researcher and make an outsized impact. You'll have the unique opportunity to establish user research practices from the ground up, uncover critical friction points through customer interviews, and deliver recommendations that will directly influence what we build next. This isn't a coffee-fetching internship—your research will shape real product decisions.

Over 3 months, you'll conduct 15-20 customer interviews, perform competitive analysis, synthesize findings, and deliver a prioritized roadmap of feature improvements. You'll work closely with our Head of Product Design while having the autonomy to drive your research independently.

What You'll Do

• Conduct in-depth customer interviews to identify friction points and unmet needs
• Analyze user behavior using Qualtrics and Amplitude to validate interview findings
• Perform competitive analysis to identify market gaps and opportunities
• Synthesize research into actionable, prioritized recommendations aligned with business goals
• Present monthly findings to product, design, and engineering stakeholders
• Deliver a comprehensive final report that influences our product roadmap

Who You Are

• Currently enrolled in a graduate program (HCI, UX Research, Psychology, Cognitive Science, or related field)
• Strong foundation in user research methodologies—you know how to conduct interviews, synthesize findings, and translate insights into recommendations
• Highly independent and self-directed—you can manage ambiguity and prioritize without constant oversight
• Excellent communicator who can present complex findings clearly to different audiences
• Analytical thinker who can balance qualitative insights with quantitative data
• Portfolio or examples of previous research work (academic or professional)

Bonus Points

• Experience with B2B SaaS products or fintech
• Familiarity with Qualtrics, Amplitude, or similar tools
• Track record of conducting remote user interviews
• Knowledge of competitive analysis frameworks

What You'll Gain

• Real impact: Your research will directly influence product decisions, not collect dust in a folder
• Ownership: Establish research practices in an organization without a dedicated research team
• Portfolio gold: Ship professional research artifacts you'll be proud to show in interviews
• Mentorship: Work directly with our Head of Product Design and cross-functional leaders
• Industry exposure: Deep dive into complex B2B fintech problems
• Network: Build relationships and get strong references for your next role

The Details

• Duration: 3 months (12 weeks)
• Compensation: $30/hour
• Work Model: Hybrid with more in-office time during the first month for onboarding, then flexible
• Start Date: May 2026 (flexible based on your availability)
• Reports to: Head of Product Design

How to Apply

Send us your resume, portfolio (or link to research samples), and a brief note about why you're interested in this role and what you hope to gain from the experience.

Are you a creative, risk-taking researcher who excels at driving innovation from the lab into the real world? Do you thrive on solving the greatest challenges in distributed systems—from AI at the edge and cybersecurity to software-defined networking—for the world’s most important autonomous machines? If you are a long-term thinker who wants to work at the intersection of product development and field-proven technology, this role is for you! 

In this role, you will join a unique research team rated in the top 1% in the country for research commercialization success. As our Distributed Systems Research Engineer, you won't just be conducting research that "dies in the lab"—you will be the driving force maintaining our status as the most advanced software infrastructure in the industry, ushering in the new era of autonomous vehicles, medical robotics, and smart power systems. You will conduct cutting-edge research in distributed systems — building on a proven, data-centric foundation while exploring the hardest open problems across the full stack, from how intelligent machines communicate to how they decide and act in the real world.

✨ What You’ll Do / Responsibilities

You will work with a team of experts researching emerging technologies, coming up with novel solutions for the problems posed by our research sponsors, exploring new concepts for products, prototyping ideas, and leading small teams to develop and to enhance advanced features related to RTI’s secure real-time connectivity platform, Connext. This is an individual contributor role. Duties will include:

• Innovate new solutions that will form the foundation of secure, adaptable, and fast distributed systems.
• Create and execute long-term strategic research activities.
• Work with the business development team to define research areas of interest and define interesting research proposal topics.
• Write research proposals and project reports.
• Execute and lead research contracts to push our technology forward. Serve in the role of Principal Investigator and/or Staff Member on externally-funded research projects.
• Actively interface with research project sponsors, customers, research partners, and prospects.
• Keeping abreast of emerging technology trends and sharing your insights across RTI.
• Communicate technical innovations through papers and presentations.
• Support the transition of promising technical innovations to product including customer trials, coordinating with product management, and working closely with the engineering team to design, develop, test and support this transition.

🎯 What We’re Looking For / Requirements

• Ph.D. degree in Computer Science, Computer Engineering or related field. Studies related to distributed systems, peer-to-peer networks, or computer networking. Solid understanding of computer network protocols; network and system programming, and real-time and/or high-performance applications.
• 7+ years of experience in distributed systems research.
• Excellent written communications skills, and evidence of research publications. Experience writing and winning proposals, and research project management.
• Solid programming skills (e.g. C/C++, Java, Python or other scripting languages).
• Demonstrated ability to work with cutting edge technology/hardware with little to no support.
• Ability to work successfully / actively engage with a highly distributed team.
• US Person requirement *Due to applicable laws, government regulations and contract specifications, we are required to fill this position only with an individual who qualifies as a "U.S. Person."

Don’t meet every single requirement? At RTI, we are dedicated to building a fair and inclusive workplace so if you’re excited about this role but your past experience doesn’t perfectly align with all qualifications in the job description, we encourage you to apply anyway! You may be just the right candidate for this or another one of our open roles. Learn more about our commitment to our team, here!

🌟 What We Offer You 

• Flexible working schedule. 
• Hybrid working + Home Office Stipend to cover the costs of working from home.
• Flexible Paid Time Off + “Real Vacation Bonus,” an additional bonus for taking more than 1-week of uninterrupted vacation.
• Competitive compensation including annual bonus based on individual and company performance 
• We recognize employees for their achievements, offer great opportunities for career growth and development, and provide the tools they need to succeed.

💙 How is life at RTI

• We have been certified as a Great Place to Work for seven consecutive years both in Spain and the US. In addition, we were listed as one of the Best Companies for Women to Advance. 
• We live and work by our core values, which emphasize excellence, teamwork, and reaching your potential. Our motto is “Enjoy the journey,” above all we must enjoy what we do and have fun at work. At RTI, you will work in a positive, supportive, diverse environment with a team that truly cares about you.
• We are defined by our “Working as One” culture and truly care about team’s interaction. That is why we plan trips for teams to get together in person, enjoy fun team-building activities and events, and feel more connected.

🌍 What We Do / About RTI

Real-Time Innovations (RTI) is the data-streaming company for intelligent distributed systems. RTI Connext® software is the critical nervous system for over 2,000 designs across Aerospace and Defense, MedTech, Automotive, and Robotics. Connext is the only real-time data streaming platform that can both control demanding physical systems and integrate them with cloud applications. RTI helps organizations develop, deploy, and scale intelligence and physical AI from edge to cloud, faster. RTI Runs a Smarter World™. Learn more at www.rti.com.

RTI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age status as a protected veteran, or status as a qualified individual with disability.

The compensation range for this role is 170K - 210K for Sunnyvale, California. The salary range displayed on this job posting reflects a minimum and maximum target. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that this range reflects the base salary target range only, and does not include bonus, equity, or benefits.

For more information about how we collect and use your data, please see our Privacy Notice for US Job Applicants and Employees.

Role

The Finance AI Architect will bring deep financial domain expertise (investment research, asset management, trading, investment banking, risk, etc.) to advance Samaya’s adoption across key institutions. This role is central in helping customers unlock outcomes/use cases and integrate Samaya’s powerful AI Agents into their workflows. 

Responsibilities 

• Partner with Account Executives and sales leadership to support the full sales cycle — from discovery to closing — by bringing domain expertise, technical fluency, and consultative insight
• Engage senior stakeholders (portfolio managers, heads of research, quant leads, CIOs) in deep conversations about how Samaya can transform current workflows (e.g. due diligence, modeling, sourcing signals, thematic research, scenario analysis)
• Lead tailored demos and workshops in financial workflows (e.g. valuation, deal modeling, stress testing, sector analysis, risk-scenario simulation), validating use cases and aligning to stakeholder pain points
• Serve as a trusted advisor: educate customers on AI’s potential (and limitations) in financial settings, and help them design adoption pathways
• Capture feedback and act as the “Voice of the Customer,” influencing product roadmap, prompt engineering strategies, domain expansions, and sales positioning
• Collaborate with marketing and enablement to produce thought leadership, case studies, and domain-specific collateral that resonates with finance audiences
• Stay abreast of trends in finance, fintech, AI, and the competitive landscape. Provide competitive intelligence and market insights to GTM and product teams
• Occasionally travel (customer visits, industry events) to strengthen relationships and market presence

Experience

Required

• 3+ years of experience in a financial expert role (e.g. investment banking, equity/credit research, asset management, trading desk, quant analytics, portfolio management)
• Deep understanding of financial workflows: modeling, valuation, forecasting, risk management, company analysis, event-driven theme evaluation, etc
• Proven ability to engage and influence senior decision-makers (C-suite, heads of research, CIOs), especially in finance
• Excellent presentation and communication skills — able to translate AI capabilities into customer vernacular and deliver custom demos
• Ability to translate ambiguous business challenges into concrete technical/AI-enabled solutions
• A proactive, self-driven, and flexible mindset — you’ll be operating in a fast-moving startup environment
• Comfort working across teams (Product, ML, Engineering, Sales) and serving as the domain translator

Preferred

• Advanced degree (MBA, CFA, CQF, MSc Finance, etc.)
• Prior experience in risk, quant, or trading systems
• B2B sales, pre-sales, or solution engineering experience in fintech or deep-tech companies

Compensation

On Target Earnings (OTE): $160,000 - $240,000 (70/30 split - base/variable). Variable compensation components will be tied to sales outcomes/success.

Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

Equity may also be considered as part of the overall compensation package.

Benefits

Health: Access comprehensive health insurance, including medical, dental, vision, flexible spending account (FSA), and short-term disability.

Wealth: Support for your long-term financial wellbeing with a 401(k) and pre-tax benefits (e.g. commuting).

Rest: Enjoy flexibility to rest and recharge as needed, with unlimited PTO (Paid Time Off).

Flexibility: Work flexibly with a hybrid setup - typically team members spend a minimum of three days in the office per week.

Travel: Grow and connect with a travel budget that encourages conference attendance, customer visits, and team gatherings.

Equipment: Create your ideal workspace with an office Equipment allowance to set up what works best for you.

The Role

We're hiring an Associate to join our investing team, focusing on early-stage opportunities across data infrastructure, AI infrastructure, and developer tools. You will work directly with Lauri Moore and collaborate with the broader Bessemer investment team to find and back the technical founders building the foundational layers of the next era of software.

Seed investing is a ground game. The most compelling opportunities at the earliest stages don't come from inbound decks — they come from being deeply embedded in the communities where builders and researchers spend their time. We're looking for someone who is energized by that work: showing up to meetups and happy hours, staying close to technical friends across the ecosystem, and building the kind of authentic relationships that mean founders call you first.

This is a role for someone who thinks independently, acts with urgency, and brings a point of view. Seed requires an optimist — you need to see what a company could become, not just what it is today. But conviction without rigor is just enthusiasm. You also need to dig deep, ask hard questions, and build a thesis before we commit capital.

You don't need an investing background. We'll teach you that. What you do need is a strong technical foundation, curiosity, and the kind of social instincts that make people want to spend time with you.

Key Responsibilities

• Be in the mix. You genuinely care about what people are building in data and AI infrastructure, and you stay close to the communities where that work happens — meetups, Discord servers, university lab demos, the dinner after the meetup. You build real relationships with engineers, researchers, and founders because you find their work fascinating. When they're ready to start something, you're already someone they want to talk to about it.
• Source with conviction. You proactively find the companies and founders we should be paying attention to — through your network, your research, and your own technical intuition. The best sourcing doesn't come from scanning pitch databases; it comes from pattern-matching across conversations, following a technical thread to its logical conclusion, and having the confidence to bring something to the team that nobody else is seeing yet.
• Develop investment theses. You go deep on emerging technical domains — new compute paradigms, the evolution of the data stack, AI-native developer workflows, inference infrastructure, and beyond. You create and refine Roadmaps that guide where we focus and how we allocate time. Your research sharpens the team's conviction and helps us see around corners.
• Lead diligence. You drive end-to-end due diligence on prospective investments: technical architecture reviews, customer and user interviews, competitive mapping, financial analysis, and reference calls. You synthesize your findings into clear investment recommendations and are expected to form and defend your own view.
• Support the portfolio. You help portfolio companies with what matters most in the early days: hiring key engineers, making strategic introductions, thinking through technical architecture decisions, and preparing for follow-on fundraises. You attend board meetings and are a resource founders want to call.
• Be a great teammate. You collaborate across teams — sharing context from your infrastructure work that helps an investor focused on a vertical see a new opportunity, jumping in to help a colleague with a key introduction, or connecting dots between portfolio companies. You are generous with your time and ideas, and you make the people around you better.

What You’ll Bring

• A technical backbone. Whether through a CS degree, a PhD in ML, years as a software engineer, time as a data scientist, or experience as a technical founder — you bring real fluency in how software systems are built. You can evaluate a technical architecture, understand trade-offs in system design, and hold your own in conversation with the best engineers in the world. This is a must.
• Natural social instincts. You don't network transactionally — you build real friendships across the ecosystem. You're the kind of person who goes to the happy hour, who texts a founder to check in on launch day, who remembers what someone's working on and connects them with the right person. Community building isn't a task for you — it's how you operate. This is also a must.
• Independent thinking. You form your own opinions, even when they're contrarian. You don't wait for permission to pursue an idea. When you see something interesting, you run it down. You're comfortable being wrong and you learn fast.
• Optimism with depth. You get excited by what's possible at the frontier of technology. But you pair that excitement with intellectual honesty — you dig into the details, pressure-test assumptions, and aren't afraid to surface uncomfortable truths during a diligence process. You want to be right, not just first.
• AI fluency. You are constantly using, experimenting with, and forming opinions on the latest AI products, models, and tools. You follow the research, you know the builders, and you have a point of view on where things are headed.
• Experience: 2–5+ years of professional experience in a technical role — as a software engineer, ML/AI researcher, data scientist, technical product manager, or founder. Zero investing experience is completely fine — some of the best investors started as engineers and founders, not finance people. What matters is that you're eager to learn the craft, and we're committed to teaching you. We care far more about your technical depth and your ability to build relationships than your familiarity with term sheets.
• Location: Based in the San Francisco Bay Area. You need to be wherever you need to be - that might be in the office, it might be at a coffee shop or taking a hike with a prospective founder, but it’s unlikely to be sitting at home on your couch. 

Why Bessemer?

Compensation & Performance Bonuses:

• Annual Salary: The base salary for this position is $175,000–$175,000 per year, determined based on your experience and qualifications.
• Annual Performance Bonuses: Eligible employees receive annual performance bonuses based on both individual and company performance.
• Shadow Carry: Opportunity to participate in the firm’s carry structure and share in the long-term success of our investments.

Equity & Investment Opportunities:

• Co-investment Opportunity: Opportunities to co-invest in deals alongside the firm.
• Retirement Plan: Access to a competitive retirement savings plan, including a 401(k) plan. 

Health & Wellness Benefits:

• Generous Healthcare Benefits: Comprehensive medical, dental, and vision insurance.
• Life Insurance & Disability Insurance Policies: Coverage to provide peace of mind for you and your family.
• Health & Wellness Programs: A variety of programs to support your physical and mental well-being including a family planning allowance via Carrot. 

Work-Life Balance & Paid Time Off:

• Unlimited PTO & Company Holidays: Unlimited paid time off with manager approval plus company holidays to ensure a healthy work-life balance.
• Parental Leave Support from Cocoon: Access to resources and assistance during your parental leave.
• Work from Home Allowance: Financial support for creating a productive home office environment.
• In-Office Perks: Provided lunches, snacks, and beverage options. Business casual attire. 

Professional Development & Mentorship:

• Learning & Development Stipend: An annual stipend to invest in courses, conferences, and other professional development opportunities.
• 1:1 Mentorship: Personalized mentorship from a member of the investment team to guide your career growth.
• Continuous Training Sessions: Regular opportunities for training and learning and development led by experts to enhance your skills.

How to Apply

Interested in joining our team? Please complete the application below. We look forward to reviewing your application and learning more about how you can contribute to Bessemer. 

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Bessemer Venture Partners is an equal opportunity employer and makes all employment decisions based on individual qualifications, business needs, applicable law, and our company values. We are dedicated to maintaining a workplace rooted in curiosity, empowerment, collaboration, intellectual honesty, and ongoing learning and mentorship. We welcome applicants from all backgrounds and strive to create an environment where every team member is valued and supported to do their best work.}

_{California Fair Chance Act Statement} 

_{Bessemer Venture Partners will consider qualified applicants with arrest or conviction records for employment in accordance with the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and other applicable law. A background check will only be conducted after a conditional offer of employment has been made.}

_{California CCPA Applicant Privacy Notice} 

_{This notice is provided pursuant to the California Consumer Privacy Act (CCPA). In connection with your application, Bessemer Venture Partners collects personal information about applicants, including contact information, employment and education history, professional references, and information provided during the hiring process. This information is used solely for recruitment and hiring purposes and is not sold to third parties. For more information about how we handle applicant data, please contact HR@BVP.com for a full privacy policy.}

THE ROLE

Senior Engineering Manager, MLOps

We are seeking a Senior Engineering Manager, MLOps to join our growing team. The ideal candidate is a technical visionary with a proven track record of building and scaling the underlying infrastructure that powers production-grade Machine Learning. You have a deep understanding of the ML lifecycle—from model development and distributed training to automated deployment and real-time monitoring—and you are passionate about treating infrastructure as a product for your "customers": Quince’s Data Scientists and AI Researchers. You are a self-starter who excels at identifying architectural bottlenecks and transforming them into seamless, automated "paved roads" that increase team velocity without sacrificing stability.

Thriving in an environment of rapid growth and ambiguity, you make high-judgment decisions on "build vs. buy" and prioritize technical roadmaps that align directly with e-commerce business outcomes. Above all, you are energized by a culture of distributed decision-making and extreme candor, where you will lead a high-performing team to set new standards for how AI is industrialized at scale to serve Quince customers.

Responsibilities

• Define the MLOps Vision & Strategy: Architect a long-term roadmap that transitions ML workflows from manual scripts to a fully automated, self-service platform for all Quince Data Scientists and AI Researchers.
• Own the "Paved Road" for Production: Build and maintain the end-to-end infrastructure for model training, deployment, and serving, ensuring researchers can move from "idea to production" with zero friction.
• Drive Strategic Prioritization: Partner with business leaders to align infrastructure investments with core e-commerce drivers like real-time personalization, dynamic pricing, and inventory forecasting.
• Lead "Build vs. Buy" Evaluations: Make high-judgment decisions on when to leverage cloud-native services (e.g., SageMaker, Vertex AI) versus building custom internal tools to optimize for cost, speed, and flexibility.
• Guarantee System Scalability & Reliability: Oversee the uptime and performance of production ML services, ensuring the stack can handle massive traffic surges and seasonal spikes without degradation.
• Manage Compute Governance & Costs: Direct the optimization of high-cost computational resources, such as GPU clusters and cloud instances, balancing high-performance training needs with fiscal responsibility.
• Recruit and Mentor Top Talent: Build and lead a high-performing team of ML Infra and DevOps engineers, providing technical coaching, career pathing, and performance management.
• Establish MLOps Standards: Drive the adoption of best practices in CI/CD for ML, Infrastructure as Code (IaC), and automated testing to ensure a modular and maintainable system.
• Bridge the Research-Engineering Gap: Act as the primary cross-functional lead, translating the complex needs of AI Researchers into actionable engineering requirements for the infrastructure team.
• Define and Track Velocity Metrics: Establish KPIs for the infrastructure team, such as model deployment frequency, mean time to recovery (MTTR), and infrastructure cost per inference.
• Champion Operational Excellence: Lead root-cause analyses (RCAs) for production failures and foster a culture of accountability where systemic fixes are prioritized over "quick patches."
• Stay Ahead of the AI Curve: Monitor emerging trends in LLM-ops, vector databases, and real-time feature engineering to ensure Quince’s infrastructure remains competitive and future-proof.

Qualifications

Required:

• 10+ years of industry experience, with at least 3-5 years in a leadership or management role specifically focused on ML Infrastructure, MLOps, or large-scale Data Platform engineering.
• Proven track record of building and scaling MLOps platforms that support the full model lifecycle—from data ingestion and distributed training to real-time inference and monitoring.
• Deep technical expertise in cloud-native infrastructure (preferably AWS) and orchestration tools like Kubernetes (EKS), Docker, and Infrastructure as Code (Terraform/Pulumi).
• Hands-on experience with ML frameworks and tooling, such as PyTorch, TensorFlow, Kubeflow, or SageMaker, and a strong opinion on how to integrate them into a cohesive developer experience.
• Expertise in building and managing Feature Stores and high-throughput data pipelines (using tools like Spark, Flink, or Kafka) to ensure data consistency across training and serving.
• Experience partnering with AI Research and Data Science teams to understand their unique workflows and translate research needs into robust, scalable engineering solutions.
• Strong understanding of CI/CD for ML, including automated testing for models, model versioning, and "blue-green" or "canary" deployment strategies.
• Demonstrated ability to manage high-cost compute resources, with experience optimizing GPU utilization and cloud spend in a hyper-growth environment.
• Excellence in operational leadership, with a history of driving service availability, performance, and stability through rigorous on-call rotations and root-cause analysis.
• A product-oriented mindset, with the ability to treat infrastructure as a platform and prioritize the roadmap based on researcher velocity and business ROI.
• Exceptional communication and influence skills, capable of navigating ambiguity and building consensus across engineering, product, and data science leadership.
• Kindness and high standards: You move fast and push for excellence, but you do so as a supportive team player who fosters a culture of psychological safety and extreme candor.

Role

As a Staff Robotics Software Engineer and Researcher, you will take full technical ownership of developing and deploying robotics grasping and manipulation algorithms, leading the end-to-end lifecycle from foundational research to global deployment. You will help define the architecture and long-term strategy that enables robots to interact with the physical world, researching and scoping innovative solutions for robust grasping in industrial settings. By abstracting the inherent complexity of robotic manipulation into intuitive workflows, you will work with a multidisciplinary team to integrate and validate high-availability software within complex, real-world industrial applications for manufacturing environments.

How your work moves the mission forward

• Design and implement robust and efficient production-ready algorithms for robotic grasping and manipulation.
• Identify opportunities to apply cutting-edge advancements in robotics and apply them to practical industrial problems.
• Transform complex partner requirements into highly reliable and functional technical outcomes.
• Mentor junior engineers, contribute to the strategic roadmap and drive the evolution of our robotic software stack for global industrial deployment.

Skills you will need to be successful

• Master’s degree  in Robotics, Computer Science, or a related field, with 8+ years of experience in robotic manipulation.
• 2 years of leading substantial, ambiguous  technical projects from inception to deployment. 
• Strong foundational knowledge in linear algebra, spatial transformations, and rigid body dynamics.
• 6 years of professional experience programming robotics software in C++ and Python,  with a proven track record of shipping production-quality code.
• Experience Machine Learning  in applied robotics context.

Skills that will differentiate your candidacy

• PhD in Robotics and Machine Learning,  Reinforcement Learning, or a related field with a focus on robotic manipulation.
• ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.
• Experience in developing the entire stack: ranging from writing kinematics, motion generation, to system integration and testing. 

Who We Are

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

In this role, you will be a member of the Perception & Behavior team, leveraging the cutting edge of machine learning research to solve challenging real-world robotics problems. This role is focused on bringing advancements in the field of ML and large-scale learning to the AV domain, moving towards a more end-to-end autonomous driving system.

This role requires working with and developing large models for perception and behavior, keeping up-to-date and experimenting with state-of-the-art architectures quickly and efficiently, collaborating with other teams to determine data and infrastructure support needs, and working to improve model optimization and inference speeds. You will use your applied research skills to think through the creation and deployment of these ML models on our autonomous vehicles while working alongside talented researchers in the field. If you love solving fundamental AI challenges and deploying your solutions on robots used in the real world, come join us!

About the Work

• Work on and advance the state-of-the-art in end-to-end ML models for AV, from processing raw sensor data (camera, LiDAR, radar) to generating behaviors.
• Experiment quickly and fail fast while leveraging massive real-world driving datasets and large-scale compute infrastructure.
• Research and apply novel solutions to some of the most challenging problems in AVs, including long-tail event handling, safe, verifiable reasoning and comfort in AV.
• Collaborate with autonomy teams to understand top autonomy challenges and design roadmaps for solving them with holistic, learned solutions.
• Work with infrastructure, data and evaluation teams to build effective and efficient data, training, evaluation, and validation pipelines.
• Develop practical, performant solutions and deploy them to the NuroDriver on-road!

About You

You have deep expertise and prior experience in some or many of the following areas:

• You have an M.S. or Ph.D. (preferred) in addition to 3+ years of experience focusing on one or more of the following: Computer Science, Artificial Intelligence, Robotics, or a closely related field.
• You have subject matter expertise and research experience in one or more of the following areas: Machine Learning (required), End-to-End Autonomous Driving Models, Imitation Learning, Reinforcement Learning, or World Models.
• You have strong problem-solving and programming skills in Python (required) and C++ (preferred) and utilize coding best practices as a part of your work.
• You are an independent researcher able to push multi-faceted projects forwards, collaborate across organizations, and deliver results in a timely manner.
• You have demonstrated research publications at major conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, CoRL, RSS, ICRA).
• You are a strong culture fit, a great team player, and thrive in a fast-paced research and development environment.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $183,825.00 and $275,975.00/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Our team identifies, assesses, and mitigates potential catastrophic risks from current and future AI systems. As a member of technical staff, you will design, implement, and empirically validate approaches to assessing and managing catastrophic risk from current and future frontier AI systems. At the moment, these risks range from loss of control of advanced AI systems or automated ML R&D through misuse of AI for widespread CBRN or cyber harm.

About Us

The Risk Assessment team measures and assesses the possible risks posed by frontier systems, making sure that GDM knows the capabilities and propensities of frontier models so that adequate mitigations are in place. We also make sure that the mitigations do enough to manage the risks.

But the risks posed by frontier systems are, themselves, unclear. Forecasting the possible risk pathways is challenging, as is designing and implementing sensors that could reliably detect emerging risks before we actually have real-world examples. We focus on building decision-relevant and trustworthy evaluation systems that prioritise compute and effort on risk measurements with the highest value of information. We then need to be able to assess the extent to which proposed and implemented mitigations actually cover the identified risks, and to measure how successfully they generalize to novel settings.

The Risk Assessment team is part of Frontier Safety which is responsible for measuring and managing severe potential risks from current and next-generation Frontier models. Our approach is one of adaptively scaling risk assessment and mitigation processes to handle the near-future. We are part of GDM’s AGI Safety and Alignment Team, whose other members focus on research aimed at enabling systems further in the future to be aligned and safe. These include interpretability, scalable oversight, control, and incentives.

The Role

We are seeking 2 Research Engineers for the Frontier Safety Risk Assessment team within the AGI Safety and Alignment Team. 

In this role, you will contribute novel research towards our ability to measure and assess risk from frontier models. This might include:

• Identifying new risk pathways within current areas (loss of control, ML R&D, cyber, CBRN, harmful manipulation) or in new ones;
• Conceiving of, designing, and developing new ways to measure pre-mitigation and post-mitigation risk.
• Forecasting and scenario planning for future risks which are not yet material.

Your work will involve complex conceptual thinking as well as engineering. You should be comfortable with research that is uncertain, under-constrained, and which does not have an achievable “right answer”. You should also be skilled at engineering, especially using Python, and able to rapidly familiarise yourself with internal and external codebases. Lastly, you should be able to adapt to pragmatic constraints around compute and researcher time that require us to prioritise effort based on the value of information.

Although this job description is written for a Research Engineer, all members of this team are better thought of as members of technical staff. We expect everyone to contribute to the research as well as the engineering and to be strong in both areas.

The role will mostly depend on your general ability to assess and manage future risks, rather than from specialist knowledge within the risk domains, but insofar as specialist knowledge is helpful, knowledge in ML R&D and loss of control as risk domains are likely the most valuable.

About You

In order to set you up for success as a Research Engineer at Google DeepMind,  we look for the following skills and experience:

You have extensive research experience with deep learning and/or foundation models (for example, but not necessarily, a PhD in machine learning).

• You are adept at generating ideas and designing experiments, and implementing these in Python with real AI systems.
• You are keen to address risks from foundation models, and have thought about how to do so. You plan for your research to impact production systems on a timescale between “immediately” and “a few years”.
• You are excited to work with strong contributors to make progress towards a shared ambitious goal.
• With strong, clear communication skills, you are confident engaging technical stakeholders to share research insights tailored to their background.

In addition, any of the following would be an advantage: 

• Experience in areas such as frontier risk assessment and/or mitigations, safety, and alignment.
• Engineering experience with LLM training and inference.
• PhD in Computer Science or Machine Learning related field.
• A track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI and UAI.
• Experience with collaborating or leading an applied research project.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.

We are also open to relocating candidates and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

The US base salary range for this full-time position is between $136,000 - $245,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

While we may not have an immediate opening, we are always interested in connecting with talented and impact-driven professionals who would like to collaborate with us on our future projects. 

Potential roles may include Design Researcher, UX Researcher, AI Engineer/Architect, Project Manager, and other functions as future opportunities arise.

Should an opportunity become available that aligns with your skills and experience, we will reach out!

Who We Are

Moon Creative Lab is a global venture studio that empowers the creation of new businesses for Mitsui. Moon’s mission is to help individuals, teams, and corporations unleash their creativity and transform bold ideas into ventures that will have an exponential impact on the world. By bringing together the best talent in design, engineering, product, and more, we help bring new ventures from zero to launch. For more information, visit www.mooncreativelab.com.

Minimum Requirements for Future Opportunities

• At least 3 years of professional experience in the relevant field
• Native level English required; bilingual English-Japanese is a big plus
• Collaborative team player who thrives in a diverse and inclusive environment
• Proactive, entrepreneurial thinker comfortable with fast-paced change and new challenges
• Possess appropriate work authorization for the location and ability to work in an in-office environment

Sounds Fun, Right?

If you identify with Moon's values and would like to contribute to our work, please submit your resume and optionally, a cover letter.

EQUAL OPPORTUNITY EMPLOYER

Moon Creative Lab is an equal opportunity employer; applicants are considered for all roles without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.