Genomenon, Inc

Own strategy and delivery for AI-driven biomedical data products supporting diagnostics and drug development. | Requires 5-10+ years in product management in AI or healthcare, with experience in biomedical data, AI/ML products, and cross-functional leadership. | Our Company Genomenon is an AI-driven biomedical intelligence company on a mission to save and improve lives by making biomedical information actionable. Rare diseases affect more than 30 million people in the U.S. alone and hundreds of millions globally, yet most patients still face long diagnostic journeys and limited treatment options. Our goal is clear and ambitious: to deliver the information that shapes diagnosis and treatment for every rare disease patient. We turn vast, complex biomedical data — spanning genomics, clinical evidence, and scientific literature — into trusted intelligence that helps clinicians diagnose patients, enables researchers to make new discoveries, and supports life sciences organizations in bringing better therapies to market faster. Our work has real, measurable impact. Genomenon’s platforms and services are used by hundreds of clinical laboratories, healthcare organizations, and life sciences teams and pharma companies to support diagnostic interpretation, variant curation, and evidence-based decision-making and drug development. Each year, our technology helps inform care for tens of thousands of patients facing rare, complex, and time-sensitive conditions, reducing uncertainty and delivering answers when they matter most. What makes Genomenon unique is our ability to support both clinical diagnostics and pharmaceutical innovation on a shared foundation of advanced AI, deep domain expertise, and rigorously curated data. • In the clinic, our solutions directly influence real-world patient outcomes. • In pharma, we enable teams to harness literature-derived real-world evidence across discovery, development, and regulatory workflows — turning fragmented biomedical knowledge into a strategic asset. If you’re motivated by impact, energized by complexity, and excited to help shape the future of rare disease diagnosis and treatment, there’s no better place to do that work. Genomenon /ge.gno.mai.non/ Source language: ancient Greek • Verb to come into being to be born out of need • Noun the leader in genomic intelligence Our Community Genomenon team members are thoughtful, ambitious, and mission-driven professionals working across states and countries. Our team brings together scientists, clinicians, engineers, and commercial leaders who collaborate as equals and learn from one another every day. We value curiosity, accountability, and people who thrive in fast-moving, high-impact environments. We are guided by our core values: • Always Learning: Approach challenges with curiosity and a growth mindset • Data-Driven: Ask a lot of questions and look to the evidence for answers • Humbly Confident: Aware of the value that we and others bring to the team • Customer & Patient Driven: Put patients and customers first in everything we do • True Grit: Embody passion and persistence, and aren’t afraid of hard work The Opportunity We’re hiring a Senior Product Manager to own strategy and delivery for Genomenon’s Literature-derived Real-World Evidence (RWE) data products and software platforms supporting rare disease and cancer diagnostics and drug development. You will partner with executive, engineering, scientific, data, and commercial teams to define product direction, translate customer and market needs into clear priorities, and ship solutions that are scientifically credible, commercially valuable, and measurable in impact. In this role, you will: • Set and drive product vision, roadmap, and quarterly priorities for our AI-driven real-world evidence products and expert-curated biomedical datasets • Lead planning and execution across the full product lifecycle (discovery → requirements → build → launch → iteration) • Align stakeholders and make tradeoffs across scale, speed, scientific rigor, and customer trust • Guide the work of a small, high-performing AI team and ensure engineering has clear, actionable requirements and success metrics • Evolve our hybrid model that combines AI and expert curation to meet pharma customer needs This role is ideal for a strategic, hands-on product leader with experience in real-world evidence and advanced AI applications in biomedicine who thrives in a fast-paced environment and wants to build mission-driven technology that improves patient outcomes. Position Responsibilities • Product Management • Own strategy and delivery for AI-extracted real-world evidence (RWE) products and expert-curated RWE datasets. • Lead customer discovery, market research, and competitive analysis to shape roadmap and differentiation. • Partner with Marketing and Commercial on go-to-market plans, messaging, and sales enablement. • Write and maintain product requirements (PRDs/specs), user stories, and roadmaps; drive sprint-level execution with Engineering/AI leaders. • Define clear product positioning, boundaries, and customer expectations across AI insights and curated data. • Set quality standards for AI outputs (validation, confidence signals, acceptance thresholds) with AI, Science, and Curation leaders. • Decide where to automate vs require expert review based on use case, regulatory sensitivity, and scientific risk. • Ensure release readiness, including user acceptance testing for major and minor releases. • Portfolio and Strategy • Build and maintain an integrated roadmap that balances innovation, commercial potential, strategic alignment, and scientific rigor. • Translate emerging AI capabilities into trusted, commercially viable pharma offerings. • Develop packaging and tiering for different pharma use cases (discovery, translational, clinical, medical affairs). • Communicate product vision and progress to executives and cross-functional stakeholders. • Product Operations • Establish governance and documentation for AI-driven data products (provenance, assumptions, limitations, review cycles). • Support customer diligence, audits, and technical deep dives with Scientific and Commercial teams. • Define and track KPIs (revenue, adoption, delivery) and use them to drive prioritization. • Improve operating cadence and cross-functional collaboration across teams. About You You are a mission-driven product professional and strategic, hands-on leader with a proven ability to earn trust and drive team performance in a fast-paced environment who thrives at the intersection of science, technology, and business. You know how to guide cross-functional teams, navigate technical complexity, and translate vision into clear, actionable plans. You bring clarity, energy, and accountability to every stage of the product lifecycle and you’re driven to help shape the future of precision medicine. You are comfortable operating in ambiguity and guide decisions with data-driven approaches to ensure alignment with executive decision makers and peers. Skills and Background • Proven leadership with the ability to earn trust and drive team performance • Highly organized with strong project and time management skills • Skilled communicator across executive, engineering, and peer teams • Strategic thinker with strong analytical and problem-solving capabilities • Results-oriented with a strong sense of ownership and accountability Qualifications • Bachelor’s degree in a relevant field (e.g., Life Sciences, Computer Science, Engineering, Business, or a related discipline) • 5–10+ years of product management (or equivalent) work in a software-, data-, or AI-driven environment • Demonstrated ability to turn complex scientific or data workflows into clear, scalable, and defensible customer offerings • Proven track record of building or supporting AI/ML-enabled products, including LLM-based tools • Strong domain background in healthcare, genomics, clinical diagnostics, pharma, or health IT, with particular familiarity with real-world evidence data products • Demonstrated fluency working with structured biomedical data, such as patient records, genetic data, and variant interpretation outputs • Proven ability to manage products that combine algorithmic outputs with expert human review and/or annotation workflows • Familiarity with real-world evidence generation, interpretation, and use in regulated or semi-regulated pharma environments • Ability to clearly communicate AI-derived insights, limitations, and validation approaches to non-technical stakeholders (e.g., pharma customers, executives, regulators) • Exceptional ability to translate across technical, operational, and business contexts, aligning teams and stakeholders around shared outcomes • Working knowledge of agile product development methods and tools (e.g., Jira, Confluence, Trello), plus familiarity with project management platforms (e.g., Asana, Monday.com, Smartsheet, Microsoft Project) • Strong data fluency, including defining and tracking KPIs, using metrics to guide decisions, and sharing insights in plain language • Demonstrated ability to lead through change in fast-moving environments, staying resilient and bringing others along • Deep capability in customer discovery, including user research, persona development, and market and competitive analysis • Proven ownership of release readiness, including QA/UAT practices and continuous improvement of testing processes Preferred • Advanced degree in a life science, health IT, business, or technical field (e.g., MBA or PhD) • Training or certification in product (e.g., Pragmatic Institute, AIPMM, CSPO/PSPO) or project management (e.g., PMP, PMI-ACP, SAFe, Scrum Master) is a plus Our Commitment Building a great company starts with building a diverse and inclusive team. We believe that people with different backgrounds, perspectives, and life experiences help us solve harder problems and build better solutions. Genomenon is committed to inclusion across race, gender, age, religion, identity, disability, and background — in how we hire, how we work, and how we lead. If you’re excited about the role but unsure whether you meet every qualification, we encourage you to apply. We’d rather review one more resume than miss the chance to meet someone exceptional.

Lead modernization of legacy systems, design and implement cloud-native architectures, collaborate cross-functionally, and mentor engineers. | 8+ years software engineering with 2+ years senior/staff role, backend development in Python or similar, cloud infrastructure experience, observability, AI tooling proficiency, and strong collaboration skills. | We are hiring for US-based employees only. Our Company Genomenon is an AI-driven, genomics software company. Our mission is to save and improve lives by making genomic information actionable. We organize the world's genomic knowledge and put it at the fingertips of clinicians to help diagnose and treat patients suffering from rare diseases and cancer, and to help precision medicine companies create targeted therapies for diseases. There are over 7,000 rare diseases affecting nearly 30 million Americans, 95% of which have no treatment. By harnessing AI and human insight, Genomenon's team is revolutionizing genetic medicine and leading a charge against genetic diseases and cancer for clinicians and pharmaceutical pioneers alike. And the adventure has just begun! Join us in championing the spirit of Genomenon, where every data point is a beacon of hope, every insight a catalyst for change, and every person a vital thread in the fabric of progress. /ge.gno.mai.non/ source language: ancient Greek verb • to come into being • to be born out of need noun • the leader in Genomic Intelligence At Genomenon, we are at the forefront of genomics research and innovation, with a mission to accelerate genetic discoveries and improve patient care. About the Role We're looking for a Staff Software Engineer who can lead the modernization of critical legacy systems across our platform. This role goes beyond feature development—it's about taking a strategic, first-principles approach to rebuilding foundational services that support genomics workflows, AI-powered literature mining, and curated variant data pipelines. This person will work across the stack and across teams, analyzing undocumented codebases, identifying key functionality, and architecting clean, maintainable replacements. You'll also play a key role in shaping how our team uses AI tooling to increase velocity and deliver long-term value. This is a high-impact role for someone who thrives on technical challenges, system-level thinking, and meaningful cross-functional collaboration. This is a rare opportunity to have outsized technical impact in a mission-driven organization tackling some of the most meaningful problems in precision medicine. Position Responsibilities: • Own the analysis, design, and technical execution of key system modernizations • Extract functional requirements from legacy code with high technical debt • Design and implement new systems using first principles and modern cloud-native architecture • Use AI tooling (e.g., GitHub Copilot, GPT-based agents) to accelerate safe, maintainable code generation • Collaborate closely with product, data science, and engineering to deliver pragmatic solutions that improve platform stability and velocity • Mentor engineers on best practices for system decomposition, refactoring, and architecture • Evaluate and integrate open-source or off-the-shelf tools where appropriate • Contribute to engineering roadmap and long-term technical strategy About You You are a thoughtful, pragmatic engineer who thrives on cleaning up complex systems and building robust, scalable solutions from the ground up. You're comfortable navigating messy, undocumented codebases and enjoy collaborating across teams to bring clarity and structure to ambiguity. You embrace modern tools—like AI code assistants—not just to move faster, but to raise the bar for code quality and maintainability What You'll Bring • 8+ years of software engineering experience, including 2+ years in a senior/staff-level role • Proven success in system modernization, legacy refactoring, and technical debt reduction • Strong backend development skills in Python (preferred), Ruby, Go, or C++ • Experience with PostgreSQL, Elasticsearch, and modern observability/performance tuning practices • Proficiency in cloud infrastructure (AWS: ECS, Lambda, S3) and containerization with Docker • Familiarity with orchestration tools like Dagster or Airflow • Exposure to frontend technologies like ReactJS and JavaScript • Comfort with Git, CI/CD pipelines, and writing clear technical documentation • Effective use of AI coding tools (e.g., GitHub Copilot, GPT-4) in real-world development • Excellent communication skills and ability to collaborate across teams and domains Your Impact This is a high-leverage role. Your efforts will: • Reduce technical debt across the platform • Enable scalable growth of data systems and AI workflows • Improve platform stability and development velocity • Increase engineering team autonomy through clearer architecture • Shape company-wide modernization strategy Nice to Have • Experience migrating apps from Heroku to AWS • Exposure to genomics, bioinformatics, or scientific data models • Familiarity with AI/ML-based systems • Experience with Elasticsearch and observability tooling • Background working in a fast-paced, scaling startup or health tech environment • Knowledge of bioinformatics, pharmacogenomics, or variant interpretation pipelines Why Join Us? At Genomenon, you won't just write code—you'll modernize systems that help make genomic information actionable. You'll work with smart, humble colleagues, solving real-world problems with real-world impact. This is a team that values practical innovation, autonomy, and curiosity. Benefits • Employee-sponsored healthcare plans through BCBS with contributions for dependents and individuals • Market-driven salary ranges (~$160,000-$200,000) • Equity • Flexbile, non-accrual based PTO and Family Leave • Fully Remote position