Job description

Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of living systems. Using proprietary molecular barcoding technology, we screen hundreds of thousands of protein designs simultaneously in living systems, producing in vivo-validated datasets at a scale no one else can match. The datasets power our computational models, which leads to better drug designs, creating a flywheel that gets stronger with every campaign. Our team of protein engineers, biologists, and computational scientists works across this full stack to pursue programs both internally and with leading pharma companies. Position Manifold Bio is seeking a Product Manager to serve as the internal product owner for our AI projects, leading the roadmap across key domains including protein design, foundation models, reasoning models, agents, and infrastructure. This role covers both internal product management and liaising with AI / tech partners., Internal responsibilities include interfacing with the AI team and R&D project managers to translate ambitious AI x biology ideas into shipped internal products and platform capabilities. External responsibilities include developing and nurturing relationships with external AI teams and partners, with an opportunity to flex into business development and strategic transactions. This role works closely with our co-founders, AI/ML leadership, and BD team to turn cutting-edge capabilities into durable platform assets. Responsibilities Define the product vision, roadmap, and success metrics for Manifold’s AI platform capabilities, including protein design, foundation models, and agents Translate internal R&D and AI x biology ideas into concrete requirements and run the operating cadences that drive decisions and accountability Own Manifold's strategy for engaging the AI ecosystem; decide which partners to prioritize, what to build with each, and how to sequence engagements Coordinate cross-functional execution across AI/ML, protein engineering, biology , and platform teams for partnerships and platform development Source, qualify, and close new AI partnership opportunities, leading exploratory conversations through to signed scope Own the quality of all external deliverables including reports, decks, and demos, and produce executive-ready memos to align internal stakeholders Required Qualifications 2-5 years of product management, technical program management, alliance management, or BD experience, with at least part of that in AI/ML or computational product environments Bachelor's degree in a technical field (CS, engineering, biology , or related); advanced degree a plus Demonstrated ability to own complex, ambiguous strategic relationships and drive them to concrete value generating outcomes Strong working knowledge of modern AI/ML concepts (foundation models, training and evaluation, agentic systems, scaling laws) and how they apply to scientific and industrial problems specific to drug discovery Familiarity with biology , protein engineering, drug discovery , or another applied scientific domain Exceptional written communication; ability to produce executive-ready memos, decks, and external deliverables independently Track record of running cross-functional execution in matrixed organizations and shipping on aggressive timelines Comfort operating in high-ambiguity, fast-evolving partnerships where the product itself is being defined as you go Demonstrated handle of agentic coding skills; e.g. ability to rapidly run analyses / generate figures Preferred Qualifications Experience building or shipping products at a frontier AI lab, AI infrastructure company, or AI-first startup Experience structuring partnership terms in collaboration with BD and legal (data rights, IP, joint roadmaps) Public writing, talks, or other evidence of unusually strong communication ability Experience scaling a partnership function or building partnership operating processes from scratch If you’re excited to use unique protein technologies to shape an innovative drug development strategy, build meaningful industry partnerships, and contribute directly to our mission of advancing breakthrough treatments, please apply! Base Salary Range: $165K-275K This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact. This role is eligible for: Annual performance-based target bonus Stock options Comprehensive medical, dental, and vision coverage 401(k) plan Flexible paid time off and holidays Perks including on-site gym, onsite lunch, and commuter support Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity. We value different experiences and ways of thinking and believe the most talented teams are built by bringing together people of diverse cultures, genders, and backgrounds.

Requirements

Must-haves

Define the product vision, roadmap, and success metrics for Manifold’s AI platform capabilities, including protein design, foundation models, and agents
Translate internal R&D and AI x biology ideas into concrete requirements and run the operating cadences that drive decisions and accountability
Own Manifold's strategy for engaging the AI ecosystem; decide which partners to prioritize, what to build with each, and how to sequence engagements
Coordinate cross-functional execution across AI/ML, protein engineering, biology , and platform teams for partnerships and platform development
Source, qualify, and close new AI partnership opportunities, leading exploratory conversations through to signed scope
Own the quality of all external deliverables including reports, decks, and demos, and produce executive-ready memos to align internal stakeholders
2-5 years of product management, technical program management, alliance management, or BD experience, with at least part of that in AI/ML or computational product environments
Demonstrated ability to own complex, ambiguous strategic relationships and drive them to concrete value generating outcomes
Strong working knowledge of modern AI/ML concepts (foundation models, training and evaluation, agentic systems, scaling laws) and how they apply to scientific and industrial problems specific to drug discovery
Familiarity with biology , protein engineering, drug discovery , or another applied scientific domain
Exceptional written communication; ability to produce executive-ready memos, decks, and external deliverables independently
Track record of running cross-functional execution in matrixed organizations and shipping on aggressive timelines
Comfort operating in high-ambiguity, fast-evolving partnerships where the product itself is being defined as you go
Demonstrated handle of agentic coding skills; e.g. ability to rapidly run analyses / generate figures
Perks including on-site gym, onsite lunch, and commuter support

Nice-to-haves

Bachelor's degree in a technical field (CS, engineering, biology , or related); advanced degree a plus
Experience building or shipping products at a frontier AI lab, AI infrastructure company, or AI-first startup
Experience structuring partnership terms in collaboration with BD and legal (data rights, IP, joint roadmaps)
Public writing, talks, or other evidence of unusually strong communication ability
Experience scaling a partnership function or building partnership operating processes from scratch
Annual performance-based target bonus

Application prep

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Keywords to mirror

aimlgo

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off