Insideboard, AI Jobs in Usa

Open date: March 5, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Apr 10, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Chang Lab, led by PI Serina Chang, is part of the Berkeley EECS Department, the UCSF UC Berkeley Joint Program in Computational Precision Health, the Berkeley AI Research (BAIR) Lab, and the Center for Human-Compatible AI (CHAI).

We are seeking a postdoc to work on projects at the intersection of AI and human behavior, including modeling human behavior with AI, building AI tools to support societal decision-making, and studying the impacts of AI on society. Potential projects include:

1. 
   
2. Developing AI models of individuals that can accurately simulate complex behaviors across modalities, supported by rich, individual-level data including mobility trajectories, surveys, in-depth interviews, and health behaviors and outcomes.
   
3. Scaling simulations to entire societies with millions of agents, developing robust validation of societal simulations, and applying societal simulations to inform decisions in high-stakes domains (e.g., public health, emergency response).
   
4. Studying the impacts of generative AI on human health and well-being, from individual-level human-AI interactions (e.g., mental health risks, health decision-making) to community-level dynamics (e.g., changing support networks, engagement with health systems).
   

The selected candidate will assist with leading research projects, work closely with PI Serina Chang, mentor junior students in the lab, and help with the management of the lab.

Union: resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/

PhD degree or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program

PhD degree or equivalent international degree

• 
  
• PhD in Computer Science or closely related field
  
• Demonstrated record of publications in relevant computer science venues and/or general science journals
  
• Experience with training and evaluating generative AI models, working with large-scale messy datasets (e.g., mobility data, health data), and interdisciplinary research (e.g., computational social science, AI for health)
  
• 2-year postdoc is preferred, but we will consider applications for 1-year postdocs
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Representative paper - Please include one research paper where you played a substantial role and that are representative of your work and interests.

  
  

• Second Representative paper - Please include one research paper where you played a substantial role and that is representative of your work and interests.

  
  

• Statement of Research - (max 4 pages). Please discuss your past research and accomplishments (e.g., publications, awards, presentations, evidence of real-world impact). Please also describe your plans for future research, especially how they would align with this position.

  
  

• Mentorship statement - (max 1 page). Please describe your past experience with mentoring junior students, including PhD students, master's, or undergraduate, and your philosophy towards mentorship. This could include mentoring students on research projects and/or teaching experience.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

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• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

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Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Title: Data Architect with AI experience

Location: Hybrid – Charlotte, NC

Job Summary

Platform AI Architect responsible for implementing and scaling AI platforms within the organization, driving AI adoption, improving productivity through AI agents, and establishing best practices for enterprise AI usage.

Required Skills

• AWS
• Python
• Snowflake
• AI / Artificial Intelligence
• SQL

Key Responsibilities

• Lead rollout of Nucleus AI platform and establish best practices and governance.
• Oversee AI onboarding and rollout across teams to ensure adoption.
• Help teams achieve ~40% productivity improvement through AI implementation.
• Design and develop AI agents for automation and productivity enhancement.

Required Skills & Qualifications

• 5+ years experience as a Solution Architect or Data Architect with AI experience
• Strong expertise in: SQL/Snowflake/Python, AWS experience.
• Strong communication and coordination skills
• Experience working in enterprise environments
• Ability to drive cross-functional projects
• Overall 10+ years of total IT experience

Job Title: Software Product Manager

Reports to: Chief Product Officer

Location: Westminster, CO (Hybrid — 3-4 days on site)

Compensation: Salary range $135k-$165k

About Inovonics

Inovonics builds enterprise grade wireless sensor networks and software for life safety and security systems in demanding environments. For over 40 years, our 900 MHz wireless technology has helped protect people, property, and critical operations across senior living communities, healthcare campuses, schools, retail sites, and other commercial facilities. We have shipped more than 25 million devices worldwide.

We are in the middle of a deliberate transformation: moving from a hardware component provider to a complete solutions company. That means building a software platform, cloud integrations, and AI-driven capabilities alongside our wireless hardware. This role sits at the center of that shift. Inovonics is a wholly owned subsidiary of Roper Technologies (NYSE: ROP).

The Role

We are looking for a Software Product Manager who can guide our software engineering team with clarity and technical credibility. This is not a role for someone who will hand requirements over the wall and hope for the best. You will be embedded in the day-to-day work of the team: running sprint ceremonies, owning the backlog, writing requirements that engineers can act on, and making product decisions that hold up under scrutiny.

The right candidate has a software engineering or technical background and has moved into product management because they want to shape what gets built, not just how it gets built. You understand system architecture well enough to know when a proposal does not fit, and you are willing to say so. You write requirements you have thoroughly reviewed and own the outcomes that follow.

What You Will Own

Day to day software team leadership

• Own the product backlog and sprint planning for the software engineering team
• Write and maintain requirements that are accurate, scoped, and actionable
• Run Agile ceremonies and serve as the primary product voice to engineering
• Manage trade-off decisions between scope, quality, and timeline in real time
• Report sprint progress to executive leadership
• Work with customer-facing teams and market focused Product Managers to triage requests and manage communication related to software releases

Software roadmap and platform strategy

• Define the “What”, “Why”, and “When” of what the software team builds.
• Own the software and cloud platform roadmap, including API integrations and third-party partnerships
• Ensure roadmap initiatives have well defined software requirements before engineering picks them up
• Partner with hardware and market focused product managers to identify what software can realistically deliver, surface revenue opportunities, and align software commitments to system level plans.
• Maintain visibility into technical dependencies and surface risks early

AI product direction

• Provide product leadership for Inovonics' AI capabilities, including our dealer facing AI assistant and AI driven monitoring features
• Translate the engineering team's AI and ML capabilities into a committed, realistic roadmap
• Identify where AI creates genuine product value versus where it adds complexity without payoff
• Work with commercial and customer facing teams to validate AI use cases before committing engineering resources

What Success Looks Like in Year One

• The engineering team trusts your requirements and does not spend cycles reworking stories because of gaps or inaccuracies
• The software backlog is clean, prioritized, and current
• Roadmap projects have software requirements captured and ready before they enter sprint planning
• A clear, defensible AI roadmap exists with prioritized use cases tied to business outcomes
• You are operating independently and are the recognized product leader for the software team

What We Are Looking For

Required

• Background in software engineering, computer science, or a related technical discipline
• Hands on experience running Agile development: sprint planning, backlog management, story writing, and retrospectives
• Demonstrated ability to write detailed, accurate product requirements that engineering teams can execute without constant clarification
• Ability to engage in architectural conversations and recognize when a proposal does not fit the existing system
• Experience owning a SaaS or cloud platform product end-to-end
• Comfort with ambiguity and the ability to make and defend product decisions with incomplete information

Strongly preferred

• 5+ years of product management experience with a software or engineering foundation
• Experience with IoT, connected hardware, or embedded systems products
• Familiarity with physical security, life safety, or building automation markets
• Experience shipping AI or ML powered product features; practical understanding of what AI systems can and cannot do
• Experience with API platform products and third-party integration ecosystems

Personal qualities that matter for this role

• You own your outputs. If you put a requirement in front of engineering, you have read it, pressure tested it, and stand behind it
• You know what you do not know and say so
• You earn credibility through rigor, not title
• You can move between strategic and operational work in the same day without losing focus

Location and Work Model

This position is based in Westminster, Colorado. We work in a hybrid model with 3-4 days per week on site. Westminster sits within the Denver/Boulder tech corridor, approximately 15 miles northwest of Denver.

Inovonics values diversity of thought and background and provides equal employment opportunity to all qualified applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, veteran status, or disability.

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.

Role : Gemini Enterprise SME

Location: Remote

Position Type : Contract

Role Summary

• Seeking a Gemini Enterprise Experience Engineer to design, build, and operationalize enterprise‑grade Gemini‑powered solutions on Cloud Platform (GCP).
• This role focuses on Gemini APIs, Vertex AI, and agentic AI frameworks to deliver secure, scalable, and production‑ready AI experiences for enterprise users.

Key Responsibilities

• Design and implement Gemini Enterprise solutions using Gemini APIs and Vertex AI
• Build and deploy agentic AI workflows using Agent Builder, ADK, and LangGraph‑style orchestration [Manideep M...prise 3-10 | PDF], [Clo...iew_Jerome | PowerPoint]
• Integrate Gemini with enterprise data sources, APIs, and business systems
• Productionize AI experiences on GCP with strong focus on security, governance, and observability
• Collaborate with engineering and customer teams to translate business needs into scalable AI experiences

Required Skills

• Hands‑on experience with Gemini Enterprise / Gemini APIs
• Strong experience with GCP, especially Vertex AI
• Proficiency in Python and API‑based AI integration
• Experience building enterprise‑grade GenAI applications

Nice to Have

• Experience with Agent Builder, Agent Development Kit (ADK), or Agent Engine
• Familiarity with RAG patterns, structured outputs, and tool‑calling
• Experience with secure or privacy‑sensitive enterprise data
• Exposure to CI/CD and cloud‑native deployment on GCP

Experience

• 5+ years in cloud, AI/ML, or platform engineering
• Prior experience delivering enterprise AI solutions on Cloud preferred

Best Regards,

Bismillah Arzoo (AB)

Senior Computer Vision Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Computer Vision Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

The Opportunity

We’re partnering with an early-stage AI startup building a new category of mental health support.

Their mission is simple but ambitious: put a therapist in everyone’s pocket.

The team recently completed the largest clinical trial ever run on an AI therapist, demonstrating outcomes comparable to human therapy and stronger results than existing digital mental health tools. Built by experienced AI researchers and guided by leading clinical advisors, the company sits at the intersection of cutting-edge AI research and real-world healthcare impact.

After completing Y Combinator, the team is now entering the next phase: turning a powerful research prototype into a product people use every day.

The Mission

Mental health support is often unavailable when people need it most.

This company is building a voice-first AI therapist designed to support people in real time - including moments outside traditional therapy hours. The platform combines conversational AI, clinical research, and human-in-the-loop safety systems to create a new kind of mental health experience.

But the interface for this category doesn’t exist yet. This role is about helping invent what interacting with an AI therapist should feel like - designing an experience people trust, build relationships with, and return to regularly.

The Role

• Design the core mobile experience for a voice-first AI product
• Explore new voice and conversational interface patterns
• Turn a research prototype into a high-engagement consumer product
• Own design across product, brand, and early design systems
• Work closely with founders, AI researchers, and clinicians
• Help define how trust and safety show up in the product experience

What They’re Looking For

• Experience designing consumer-facing products, mobile-first
• Strong 0→1 product design experience or early-stage startup exposure
• Ability to take ownership and operate independently
• Excellent product taste and visual craft
• Interest in designing new interaction models around AI and conversation
• Curiosity about mental health, behavioral design, or human–AI interaction

If you’re excited about designing products that combine AI, psychology, and human trust, this is a rare opportunity to shape an entirely new kind of experience.