Engineering Journal Jobs in Atherton, CA

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Guidance, Navigation, and Control (GNC) Modeling and Simulation Engineer, you will develop the physics-based models that enable rapid iteration and certification-grade validation of GNC software. You will perform simulation analysis and assess correlation with real-world data to demonstrate that the models are representative of the actual system.

Responsibilities

• Develop physics-based models representative of aircraft dynamics (aerodynamics, ground reactions, actuator models, etc.)

• Identify, request, and analyze flight tests necessary to inform modeling

• Conduct closed-loop testing of flight control systems with simulated aircraft dynamics

• Develop tools for visualizing and analyzing simulation and flight data

• Perform validation of simulation models against flight test data

Basic Success Criteria

• BS in aerospace engineering, robotics, or related field

• 5+ years experience with aerodynamics, flight dynamics simulation, and system identification

• Experience with Python, C++, MATLAB/Simulink, and Linux-based development environments and scripting

• Experience with developing validated physics-based models as well as integration and testing of these models

• Excellent written and verbal communication skills

Preferred Criteria

• MS or PhD in aerospace engineering, robotics, or related field

• Experience with high fidelity physics-based aircraft or other complex simulation systems

• Current pilot, instrument or commercial ratings

GNC Modeling and Simulation is a key company capability that enables rapid design iteration and scalable design validation covering the massive combinatorial space of flight envelope and atmospheric conditions. These tools are what allow us to fly with the confidence of more than 1000:1 simulation hours to flight hours and draw statistically significant conclusions on the system's safety and performance.

Employees working from our headquarters in Mountain View, CA may expect very little travel.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $185K - $245K

The Company

A rapidly growing data consultancy founded in 2023 by a former venture-backed biotech VC data/technology leadership team in San Francisco. The firm has already delivered 20+ engagements across tech, healthcare/biotech, finance, energy, real estate, and startups - building complex data platforms, products, and AI-driven systems.

The Role

A hands-on, senior individual contributor role for engineers who still love coding. You’ll work in small teams (often 1–3 engineers) to design and build production-grade data platforms, pipelines, and products across industries.

What You’ll Work On

• High-impact, fixed-scope builds (e.g., enterprise data marts, complex migrations)
• End-to-end data platform deployments (ETL, warehouses, BI across AWS/Azure/GCP)
• Partnering with startups to build data-intensive products from 0 → 1

What We’re Looking For

Hands-on builder

• Actively writing production code today
• Not removed into management or purely architectural roles

Infrastructure ownership

• Personally deployed and operated production systems
• Cloud, CI/CD, scaling, monitoring, reliability

End-to-end ownership

• Taken products from idea → launch → ongoing operation
• Comfortable operating autonomously with stakeholders

True seniority (well beyond 5 years)

• Targeting engineers with meaningful depth and ownership
• Strong preference for backgrounds in smaller, high-ownership environments
• Experience wearing multiple hats (application + infrastructure + deployment)

Why Join

• High autonomy and real technical ownership
• Variety of industries and problems
• Small, elite engineering team
• Opportunity to shape a fast-scaling consultancy

Location: San Francisco (5 days a week on-site)

Salary: $190k-$250k + 10-20% bonus + equity + sign on bonus

Benefits: Full Health, Vision, Dental, Life Insurance, Commuter Benefits, Unlimited Time off, 401k matched.

Job Title: Test Lead

Location: Mountain View, CA

Job Type: Full-Time

Job Description:

Qualification: B. Tech/MTech (Electronics & Communication Engineering)

1) Min 10 yrs experience in Automotive test development and testing with min 2 yrs in the infotainment and/or telematics domain

2) Test automation and testing of IVI interfaces at least 2 of the following: Serialize-based high-resolution Displays, Ethernet, Tuner, Wi-Fi, BT, V2X, LTE, GNSS, and Audio.

3) DVP&R preparation, DV testing

Skills:

1) Min 10 yrs experience in Automotive test development and testing with min 2 yrs in the infotainment and/or telematics domain

2) Test automation and testing of IVI interfaces of at least 2 of the following: serialize-based high resolution Displays, Ethernet, Tuner, Wi-Fi, BT, V2X, LTE, GNSS, and audio

3) DVP&R preparation, DV testing

About the Company

Atomus’ mission is to provide world-class cybersecurity for the world’s most critical organizations. We build security compliance software delivered as managed services sold directly, with relevant professional services and support. Our commercial customers include hypersonic aircraft companies, satellite and space mission systems companies, AI and software companies, among many others serving primarily the aerospace and defense industry. At Atomus we are hardworking, we move fast, and we put our customers first.

About the Role

As a Business Operations Intern, you’ll play a key role in keeping our fast-moving team running smoothly—from coordinating product shipments and managing our Shopify store to planning team events and supporting the cofounders on strategic projects. We’re looking for someone who moves quickly, leans on AI tools to work smarter, and has a sharp eye for design and detail. This is a hands-on role where you’ll gain real experience across every facet of a growing cybersecurity startup.

Responsibilities

• Coordinate and manage physical shipments of security products to customers, including tracking orders, preparing packages, and communicating delivery timelines
• Help manage and maintain the company’s Shopify store, including inventory tracking, product listings, and order fulfillment
• Plan and coordinate team events and travel logistics
• Support the cofounders on a variety of strategic and operational projects as priorities evolve
• Manage office supply and snack ordering to keep the team well-stocked and happy
• Leverage AI tools and agents (e.g., Claude, ChatGPT, automation platforms) to streamline workflows and increase efficiency across tasks

Qualifications

• Currently enrolled in a Bachelor’s or Associate’s degree program at a Bay Area college or university, ideally pursuing a technical degree (e.g., Computer Science, Engineering, Information Systems, Business Analytics)
• Demonstrated proficiency with AI tools and a strong preference for using AI agents (e.g., Claude, Lovable) to get work done faster
• A good eye for design—whether it’s formatting a document, laying out a slide deck, or organizing a storefront
• Strong organizational skills and attention to detail
• Excellent written and verbal communication skills
• Comfortable managing logistics and coordinating shipments or deliveries
• Thrives in a fast-paced environment and can juggle multiple priorities with minimal direction
• Reliable, self-motivated, and able to work independently
• Ability to work in-office in downtown San Francisco 10–20 hours per week

Preferred Skills

• Interest in cybersecurity, technology, or the startup ecosystem
• Experience with Lovable or similar AI-powered app building tools
• Experience with Shopify or other e-commerce platforms
• Experience coordinating events, travel, or conference logistics
• Previous experience with shipping, logistics, or inventory management
• Familiarity with project management tools (e.g., Asana, Trello, Notion)
• Familiarity with design tools (e.g., Canva, Figma) for light creative tasks
• Previous internship or work experience in an office or operations role

Pay range and compensation package

Competitive hourly pay. Flexible scheduling around your class schedule (10–20 hours/week). Mentorship and hands-on exposure to multiple areas of a growing cybersecurity company. A collaborative, supportive team culture in a downtown San Francisco office.

We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar.

In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.

At GM’s manufacturing technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.

Key Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds) • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Required Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools • Familiarity with 3D vision, sensor modeling, and domain randomization techniques • Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2) • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity) • Background in industrial automation, autonomous vehicles, or robotic manipulation • Publications or contributions in simulation, synthetic data, or robotics venues (e.g.

ICRA, RSS, CVPR) • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

Our Commitment to Inclusion:

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Sr. Flight Test Instrumentation Engineer at Reliable Robotics, you will be a part of the Flight Test and Integration team. The Flight Test and Integration team is responsible for multiple installation and test efforts at Reliable Robotics. The team regularly ensures the proper function of mechanical, electrical, and flight control systems onboard the aircraft. In addition, this team has ownership over all ground and flight test operations within the organization. The team is composed of individuals familiar with experience developing experimental and certification products.

Responsibilities

In your role as Sr. Flight Test Instrumentation Engineer, you will assist in the design and installation of modified flight control systems, throughout the development of a remotely operated autoflight system. You will ensure the proper build-up of functions and capabilities, beginning in the lab and ending on the vehicle. You will be expected to verify the end-to-end functionality of the system and ensure the ability to assess all desired test requirements. This will require engaging with many teams throughout the organization and having a firm understanding of the vehicle's capabilities. As part of the flight test campaigns, you'll act as the responsible engineer for the vehicle and often as test director.

Basic Success Criteria

• Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline

• 7+ years of integration and test experience in a professional environment

• Demonstrated ability to work with hardware

• Experience leading test campaigns on the ground or in flight

• Demonstrated ability to lead safety critical tests and operations

Preferred Criteria

• Experience assembling components in a production environment

• Experience assembling prototype hardware

• Experience manufacturing mechanical and electrical (harnessing) sub-assemblies

• Experience with computer science languages (Python or similar)

Flight Test Integration Engineers at Reliable Robotics will have an opportunity to deliver a first-of-its-kind gate-to-gate autoflight system for commercial use. Let's make it happen!

Must be willing to travel up to 10% of the time.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $133K - $222K

Compiler Engineer

Location: Mountain View, CA (Hybrid)

Working Model: Full-time, hybrid

Salary: Up to $400k + equity

The Opportunity

This is a rare chance to join a deep-tech company building a vertically integrated compute platform, spanning custom silicon, systems software, and compilers. The goal is to enable next-generation AI and machine-learning workloads at unprecedented scale, and the compiler team sits right at the centre of this mission.

Compilers here are not a support function—they are a core design driver, with direct influence over hardware architecture, performance strategy, and long-term platform direction. The work is highly technical, performance-critical, and genuinely impactful.

Compiler Engineer Responsibilities

• Design and implement mid-end and back-end compiler components targeting proprietary hardware architectures.
• Work closely with hardware, architecture, and systems teams to influence design decisions from a compiler author's perspective.
• The role is focused on performance, correctness, and long-term maintainability, contributing to a production-grade compiler stack used to run large-scale ML workloads.

Compiler Engineer Background

• Strong software engineering fundamentals with a performance-first mindset.
• Hands-on experience with core compiler algorithms such as register allocation, instruction selection and scheduling, and loop optimisations.
• Comfortable operating in a hybrid environment and collaborating across hardware and software boundaries.

Compensation & Benefits

Highly competitive base salary up to $400k, plus equity. Comprehensive benefits package including generous PTO, parental leave, learning budget, and flexible working at the start and end of the week.

If this position sounds of interest, please reach out to Harry Hansford @ IC Resources.

Please Find Below Job Details:

Job Title: Instructional Designer

Duration: 06 months

Location: Foster City, CA

Payrate: $62/hr - $65/hr

In this role, you’ll translate complex business requirements into engaging learning solutions, collaborating closely with subject matter experts and key stakeholders. You’ll lead the design and development of impactful, measurable courses and resources that enable teams to effectively engage with and service the company’s products.

The ideal candidate brings a strong grasp of adult learning principles and a track record of creating innovative, learner-focused training.

As an Instructional Designer, you'll:

• Design educational content rooted in instructional design principles, ensuring learning objectives align with business priorities.
• Partner with SMEs and cross-functional teams to co-create dynamic curricula (classrooms, workshops, and e-learning), using AGILE methodologies for continuous improvement.
• Create interactive online learning experiences with authoring tools, focusing on clarity, structure, and collaboration with eLearning developers, while streamlining production through evolving templates and tools.
• Assess and refine training solutions for quality, scalability, and measurable impact, incorporating leader input and aligning with brand guidelines and strategic priorities.
• Facilitate planning sessions with stakeholders and synthesize feedback into clear, actionable instructional strategies; travel up to 15% as needed.

Role specifics and target candidate profile

• Follows the ADDIE methodology -Problem solving skills -Able to create a simplified training solution around complex technical concepts -Ideally has Automotive industry background, designing trainings around high voltage/electrical systems -Very independent, able to hit the ground running with minimal oversight/direction To summarize the role in a sentence: "Someone who can take a bunch of complex technical information and synthesize it so folks from various backgrounds and technical know-how can understand and learn from."

Required skills

• Qualifications 6-8 years of instructional design experience, with a focus on blended learning, OLT, ILT, and vILT. Automotive / EV / Collision industry preferred but not required.
• 2+ years of experience in the automotive industry is preferred but not required.
• Strong conceptual design skills with the ability to visualize and articulate instructional flows and learner experiences.
• Able to work independently and collaboratively in a fast-paced environment with frequent change and limited oversight.
• Strong communicator and creative problem solver who brings curiosity, clarity, and empathy to learning design.
• Experience creating learning evaluation plans. Working knowledge of eLearning authoring tools, such as Articulate 360 (Rise & Storyline), Camtasia, Vyond, Canva, and the Adobe Creative Suite.
• Bachelor's degree in Instructional Design, Educational Technology, Engineering, or related field. Portfolio of ID work samples preferred but not required

At January AI, we believe every day is January 1st a fresh start for better health. Founded in 2017 and headquartered in Menlo Park, California, January AI is the first AI-powered precision health company focused on improving metabolic health and advancing personalized nutrition. Co-founded by tech executive Noosheen Hashemi and Stanford geneticist Dr. Michael Snyder, we bring together machine learning, multi-omic science, and real-world health data to empower individuals to take control of their health. Our flagship January app uses data from continuous glucose monitors, wearables, and food logs to predict users' blood sugar responses to more than 54 million foods, delivering real-time, personalized recommendations for nutrition, activity, and lifestyle. In 2025, we introduced Mirror, which integrates genomics, wearable data, and at-home diagnostics to offer clinical-grade guidancesupporting both individuals and enterprise health partners with tailored insights and actions. We're now expanding our impact beyond the home, partnering with global leaders in hospitality and healthcare to bring precision nutrition, health, and longevity to the forefront of the guest experience. Recognized as one of Fast Company's Most Innovative Companies (2025, Wellness), a CES Innovation Honoree (2025), and one of Inc.'s Best in Business (2024), January AI is backed by visionary investors including Marc Benioff, Jerry Yang, and Steve Chen. Our work has been featured in The Wall Street Journal, The New York Times, STAT, Financial Times, and TechCrunch.

$200,000 - $250,000 a year

About this Role: Vice President of Product

January AI is seeking a strategic, visionary, and execution-driven Vice President of Product to lead our product organization during a period of rapid growth and innovation. Reporting to the CEO, the VP of Product will own and evolve our product roadmap across mobile, web, AI-driven insights, and clinical-grade health features. You'll partner cross-functionally with Engineering, Design, Marketing, and Commercial leaders to deliver experiences that are trusted by users, embraced by clinicians, and scalable across consumer and enterprise segments. You should be deeply user-centric, data-informed, and comfortable operating across 0-to-1 product innovation and enterprise-scale product delivery. This role is ideal for a leader who wants to shape the future of metabolic health through breakthrough AI and multiomic experiences.

Key Responsibilities

• Own the product vision, strategy, and roadmap aligned with January AI's mission and commercial goals.
• Lead and grow a team of product managers and designers to execute across consumer, clinical, enterprise, and data products.
• Collaborate closely with Engineering, Data Science, Clinical, and Commercial teams to deliver seamless, high-impact experiences.
• Ensure all products are grounded in user research, evidence-based health science, and measurable outcomes.
• Translate complex AI and multiomic data into actionable insights for consumers and clinicians.
• Establish strong product processes: planning, execution, QA, user testing, sprint rituals, and stakeholder communication.
• Own product analytics, KPIs, and usage metrics to inform decisions and drive continuous improvement.
• Represent the voice of the user internally and with external partners, payers, and healthcare systems.
• Guide regulatory and compliance-related product decisions (HIPAA, FDA, etc.) in partnership with Clinical and Legal teams.
• Champion a culture of rapid iteration, data-informed decision-making, and exceptional user experience.

Qualifications

Required

• 8+ years of experience in product management, with 4+ years in a leadership role managing product teams.
• Proven success shipping and scaling products in digital health, AI/ML-powered software, or consumer SaaS.
• Track record of building B2C or B2B2C health products with high engagement and retention.
• Strong user empathy and ability to synthesize qualitative and quantitative feedback into actionable insights.
• Familiarity with product development lifecycle, Agile/Scrum methodologies, and working in regulated environments.
• Experience with mobile and web app development, API integrations, and cross-platform consistency.
• Exceptional communication and cross-functional leadership skills.
• Comfort working in a fast-paced, startup environment with shifting priorities and rapid execution.

Preferred

• Technical background or experience working with machine learning, sensor data, or connected devices.
• Understanding of healthcare data standards (HL7, FHIR, etc.).
• Experience with glucose monitoring, metabolic health, or wearable health products.
• Background in behavioral science, habit formation, or health coaching product models.

Why Join January AI

• Mission-driven: Help redefine what health means for millions through science and empathy.
• Science-led: Work alongside world-class scientists, clinicians, and technologists.
• Purpose-built: Where deep research meets beautiful, scalable product experiences.
• Category-creating: Help shape the future of precision health in hospitality, consumer health, and beyond.