Manifold Bio is a platform therapeutics company that uses an AI-guided, direct-to-vivo discovery engine to design tissue-targeted biologics that can cross the blood–brain barrier and other physiological barriers.
<p><strong>Manifold Bio is a platform biotechnology company pioneering AI-guided <span class="pearl-hilighted-word" style="color: black;">protein</span> design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of living systems. </strong>Using proprietary <span class="pearl-hilighted-word" style="color: black;">molecular</span> barcoding technology, we screen hundreds of thousands of <span class="pearl-hilighted-word" style="color: black;">protein</span> 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 <span class="pearl-hilighted-word" style="color: black;">protein</span> engineers, biologists, and computational scientists works across this full stack to pursue programs both internally and with leading pharma companies.</p> <p><strong>Position</strong></p> <p>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 <span class="pearl-hilighted-word" style="color: black;">protein</span> 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 <span class="pearl-hilighted-word" style="color: black;">biology</span> 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.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Define the product vision, roadmap, and success metrics for Manifold’s AI platform capabilities, including <span class="pearl-hilighted-word" style="color: black;">protein</span> design, foundation models, and agents</li> <li>Translate internal R&D and AI x <span class="pearl-hilighted-word" style="color: black;">biology</span> ideas into concrete requirements and run the operating cadences that drive decisions and accountability</li> <li>Own Manifold's strategy for engaging the AI ecosystem; decide which partners to prioritize, what to build with each, and how to sequence engagements</li> <li>Coordinate cross-functional execution across AI/ML, <span class="pearl-hilighted-word" style="color: black;">protein</span> engineering, <span class="pearl-hilighted-word" style="color: black;">biology</span>, and platform teams for partnerships and platform development</li> <li>Source, qualify, and close new AI partnership opportunities, leading exploratory conversations through to signed scope</li> <li>Own the quality of all external deliverables including reports, decks, and demos, and produce executive-ready memos to align internal stakeholders</li> </ul> <p><strong>Required Qualifications</strong></p> <ul> <li>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</li> <li>Bachelor's degree in a technical field (CS, engineering, <span class="pearl-hilighted-word" style="color: black;">biology</span>, or related); advanced degree a plus</li> <li>Demonstrated ability to own complex, ambiguous strategic relationships and drive them to concrete value generating outcomes</li> <li>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 <span class="pearl-hilighted-word" style="color: black;">drug discovery</span> </li> <li>Familiarity with <span class="pearl-hilighted-word" style="color: black;">biology</span>, <span class="pearl-hilighted-word" style="color: black;">protein</span> engineering, <span class="pearl-hilighted-word" style="color: black;">drug discovery</span>, or another applied scientific domain</li> <li>Exceptional written communication; ability to produce executive-ready memos, decks, and external deliverables independently</li> <li>Track record of running cross-functional execution in matrixed organizations and shipping on aggressive timelines</li> <li>Comfort operating in high-ambiguity, fast-evolving partnerships where the product itself is being defined as you go</li> <li>Demonstrated handle of agentic coding skills; e.g. ability to rapidly run analyses / generate figures</li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Experience building or shipping products at a frontier AI lab, AI infrastructure company, or AI-first startup</li> <li>Experience structuring partnership terms in collaboration with BD and legal (data rights, IP, joint roadmaps)</li> <li>Public writing, talks, or other evidence of unusually strong communication ability</li> <li>Experience scaling a partnership function or building partnership operating processes from scratch</li> </ul> <p><strong>If you’re excited to use unique <span class="pearl-hilighted-word" style="color: black;">protein</span> technologies to shape an innovative drug development strategy, build meaningful industry partnerships, and contribute directly to our mission of advancing breakthrough treatments, please apply!</strong></p> <p> </p> <p><strong>Base Salary Range: </strong>$165K-275K</p> <p>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, int