Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioural change. We are on a mission to inspire and engage people in lifelong health, one step at a time.

Great software is the key to providing effective care at scale. We hire passionate, creative people and give them the autonomy to do great work. Our software engineers are comfortable dealing with high-level specifications, working independently and in small teams, and are heavy contributors in the product process from idea to production.

You work with empathy for your coworkers, stakeholders and users. You are excited to work cross-functionally with a variety of people and ideas. You work directly with stakeholders to design solutions and drive the technical decisions for delivery. You proactively keep up with technology trends and can assess technical trade-offs between solutions across service boundaries. You care about writing quality software and recognise that there are often many right answers. You are excited about the challenge of learning new technologies and context. You are enthusiastic about providing the best possible care for our members.

What you’ll be doing:

• Build and integrate a combination of home-grown and purchased tools to optimise our contracting, eligibility and billing processes. You will have a direct impact on business outcomes through the improvement of existing or implementation of new solutions in close partnership with product and business stakeholders.
• Be an informal leader to the team by continuously identifying ways to improve, mentoring others, and removing ambiguity.
• Leverage AI and ML tooling to deliver innovative solutions to complex problems.
• Collaborate and influence others to shape future direction, based on your years of previous experience and technology research.
• Lead large projects, anticipating infrastructure and architectural needs before they arise.
• Research, adopt and advocate for new technologies.

What you need for this role:

• 7+ years of experience writing readable, tested, and efficient code
• Familiarity with LLMs and GenAI best practices (for writing code and app features)
• Experience with a modern front-end framework (React, Vue)
• Experience with a modern back-end web framework (Rails, Python)
• Experience with a relational database (PostgreSQL, MySQL)
• Solid debugging and optimisation skills
• Experience with APIs supporting mobile applications delivering rich user experiences
• Expertise with SDLC processes and frameworks
• Interest in learning new tools, languages, workflows, and philosophies to grow
• Curiosity and care more about solving problems than being right
• Excellent communication and collaboration skills (verbal and written)

Technologies we use:

• AWS
• Ruby
• Rails
• Postgres
• Kafka
• Docker
• Kubernetes
• Amplitude
• Marketo
• Salesforce

Benefits:

• Competitive salary with generous annual cash bonus
• Stock options
• Remote first work from home culture
• Flexible vacation to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions
• ...and more!

It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!

• Cultivate Trust.
• Seek Context.
• Act Boldly.
• Deliver Results.
• Succeed Together.
• Remember Why We’re Here.

About Omada Health:

Omada Health is a between-visit healthcare provider that addresses lifestyle and behaviour change elements for individuals managing chronic conditions. Omada’s multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale.

With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada’s approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms.

For more information, visit: https://www.omadahealth.com/

Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information.

We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.

Below is a summary of salary ranges for this role in the following geographies:

• California, New York State and Washington State Base Compensation Ranges: $179,400 - $224,300*
• Colorado Base Compensation Ranges: $171,600 - $214,500*
• Other states may vary.

This role is also eligible for participation in annual cash bonus and equity grants.

*The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations.

Please click here for more information on our Candidate Privacy Notice.

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As a Tech Strategy Product Manager, you will conduct rigorous, deep-dive investigations into Google's hardest long-range strategic questions, providing data-driven clarity needed for executive decision-making. You will model complex scenarios and trade-offs to surface opinionated strategies for maximizing AI value across Google.

Key responsibilities include:

• Investigative Modeling: Conducting deep-dive investigations into Google's hardest long-range strategic questions, providing data-driven clarity needed for executive decision-making.
• Scenario Architecture: Modelling complex scenarios and trade-offs to surface opinionated strategies for maximizing AI value across Google.
• SVP+ Content Support: Contributing to the development of high-stakes presentations, communications, and mandates for SVP-level forums, ensuring technical accuracy and narrative flow.
• Cross-Functional Partnership: Acting as a bridge between technical teams and strategy, partnering with virtual teams across Google to ensure product and policy plans are grounded in reality.
• Execution & Monitoring: Helping maintain per-mandate monitoring views to keep programs accountable; collaborating with MLSA to ensure company-wide mandates are organized and delivering on goals.
• Strategic Cataloging: Maintaining a 'living catalog' of ongoing experiments and proposed innovations across Google to identify topics worthy of senior executive discussion.

This role is for you if you demonstrate the analytical rigor and strategic curiosity required to sustain a high level of performance across complex, pan-Google workstreams,pairing a 'big picture' perspective with the ability to remain precise and detail-oriented at the speed of an SVP-led forum.

You should have a BA/BS degree or equivalent practical experience in a technical and/or business area, with 5+ years of experience in product management, management consulting, or a high-growth corporate strategy role. Exceptional organisational talent and experience running high-velocity, high-impact programs are also essential.

In addition, familiarity with the role of compute and data in building LLMs and the technical capabilities of these models would be an advantage.

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As one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding.

The role will involve personally driving and amplifying impact through leading a team to investigate and drive clarity on some of Google's hardest long-range strategic questions in AI, creating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time, modeling scenarios and various trade-offs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google, and creating SVP+ forum content (presentations, communications, mandates).

To be successful in this role, you will need to be a PM who thrives as both a central hub orchestrating complex and long-running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing. You must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company.

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

• BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area
• 15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0->1 product capabilities and founding or incubating new, high-impact technical initiatives.
• Exceptional organizational talent running high-velocity, high-impact, strategic programs
• Stellar verbal and written communication; past experience with SVP/VP+ level audiences
• Extensive experience in product operations and business strategy
• Strong analytics, strategy, and data fluency experience
• Experience in a role that deals with machine learning and/or compute
• Innovative problem solver that can turn ambiguous problem spaces into clear solutions
• Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making

In addition, the following would be an advantage:

• Familiarity with the role of compute and data in building LLMs and the capabilities of these models
• Strong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools
• 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders
• A quantitative and analytical mentality to understand Google PA and external user needs
• Experience navigating sensitive organizational dynamics
• Collaborating within data-driven or quantitative-focused teams
• A consistent record of creative problem solving and a bias towards action
• Outstanding business judgment
• Outstanding organizational, prioritization, and multitasking skills
• Excellent communication skills
• A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment
• Experience in corporate planning
• Ability to manage multiple concurrent complex interactions with geographically disparate teams
• Past people management experience; Experience in hiring and leading teams, including distributed teams

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At Microsoft AI, we deliver exceptional products and services that empower users to be more productive and efficient.

In this role, you will work across all four stages of our evaluation platform: data sampling, AI data collection and processing, data analysis and evaluation, and insight generation.

You will contribute across the full stack—from backend databases and middle-tier services to browser automation, statistical analysis, and dashboard creation.

Expect to dive into prompt engineering and leverage cutting-edge AI tools to drive meaningful impact.

This engineering position offers exposure to a wide range of technologies and surfaces, including desktop, web, and mobile.

You will collaborate closely with teams across Microsoft AI to assess Copilot’s relevance, performance, trustworthiness, and visual appeal.

Our platform supports desktop and mobile automation and UX studies—enabling scenarios like multi-turn conversations with voice input on iOS and Android apps.

The possibilities are endless.

Responsibilities:

• Expertise in experimentation methodologies, including A/B evaluation, data sampling, measurement techniques, evaluation design, and data analysis.

• Demonstrating strategic vision by understanding organizational goals, translating metrics into actionable insights, and enhancing product quality.

• Designing pipeline architecture to ensure rapid iteration and scalability.

• Conducting post-analysis of labeled data and developing dashboards to visualize insights.

• Collaborating closely with the product team to enhance quality and address gaps.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to C#, Java, or Python OR equivalent experience.

• 2+ years’ experience with SQL, PostgreSQL or MySQL

• 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.

• Extensive use datastores like RDBMS, key-value stores, etc.

• Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code

• HTML, CSS, JavaScript, ASP.NET, REST, jQuery

• Familiarity with browser automation tools like Selenium, Puppeteer or Playwright

• Familiarity with mobile automation tools like Appium

• Familiarity with LLMs and AI ChatBots Prompt Engineering

• Azure DevOps, GIT

• Azure Open AI, Azure Foundry

• Experience in leading technical projects and supporting architectural decisions with data.

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.

There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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About the Team

We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

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