---
title: 'Accelerating impact through partnerships at Inceptive'
canonical: 'https://feeny.ai/job/accelerating-impact-through-partnerships-inceptive-palo-alto-etf7nd47r14a'
type: 'job'
last_seen: '2026-09-10'
---

# Accelerating impact through partnerships at Inceptive

- **Company:** Inceptive
- **Location:** Palo Alto, CA
- **Posted:** 2026-06-04
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/inceptive/jobs/5155248007

## Job description

At Inceptive, you will drive development forward that could help billions of people. To accomplish this, you will be part of a collaborative, [antedisciplinary](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.0010006) team building our biological software.

We are looking for an exceptional and motivated individual to join our business development team.

You will be joining a dynamic and agile team, set to execute on our mission and capitalize on scientific, business, and strategic opportunities. We are seeking an Alliance Manager to lead and grow our strategic partnerships in oligonucleotide therapeutics, with a primary focus on small interfering RNA (siRNA) drug discovery. As a key member of our Business Development team, you will serve as the primary interface between our company and our external partners — spanning pharmaceutical companies, academic institutions, and technology providers — ensuring alliances are structured for scientific success and commercial value.

This role sits at the intersection of cutting-edge AI-driven biology and next-generation RNA therapeutics. You will leverage our proprietary AI platform to identify, establish, and manage high-impact collaborations that accelerate the development of siRNA-based medicines.

Your mission, should you choose to accept it

- Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
- Serve as the primary point of contact for existing siRNA and oligonucleotide partnerships, managing day-to-day alliance operations and escalation pathways
- Establish and lead Joint Steering Committees (JSCs), Joint Research Committees (JRCs), and other governance bodies, preparing agendas, minutes, and action tracking
- Monitor contractual milestones, deliverables, and timelines; proactively identify and resolve issues that could jeopardize partnership success
- Coordinate cross-functional internal teams (Biology, Chemistry, AI/ML, Regulatory, Legal, Finance) to fulfill partner obligations and advance shared programs
- Drive successful execution of partnered programs against scientific and operational milestones and enable expansion opportunities across strategic partnerships
- Prepare documents and presentations to senior management to help drive decision-making through the deal process
- Travel to industry events, scientific or business oriented

Scientific & Strategic Engagement

- Develop a deep understanding of partner pipelines, strategic priorities, and siRNA platform capabilities to align collaboration goals
- Translate AI platform outputs and siRNA design insights into compelling partnership narratives for both scientific and business audiences
- Collaborate with internal discovery teams to ensure partner-facing scientific deliverables meet alliance commitments
- Stay current on competitive landscape in RNAi therapeutics, GalNAc-siRNA conjugates, lipid nanoparticle (LNP) delivery, and AI-driven target discovery

## Qualifications

- Ph.D. or M.S. in Molecular Biology, Biochemistry, Pharmacology, or a related life sciences field; MBA a plus
- 5+ years of experience in alliance management, business development, or strategic partnerships within the biopharmaceutical or biotech industry
- Working knowledge of oligonucleotide therapeutics — particularly siRNA biology, mechanism of action, and drug development challenges
- Demonstrated experience managing complex, multi-party research or licensing collaborations from initiation through program delivery
- Exceptional interpersonal, negotiation, and communication skills; ability to influence without direct authority across internal and external stakeholders
- Strong project management skills with proficiency in tools such as Linear, Notion, or equivalent platforms
- Familiarity with AI/ML applications in drug discovery, including sequence-based target identification or predictive ADME/toxicity modeling
- Prior experience negotiating term sheets, CDAs, MTAs, or master research collaboration agreements
- Existing network within the oligonucleotide therapeutics ecosystem (pharma, biotech, CRO, and academic partners)
- Availability to accommodate working with team members across different time zones, with one or two meetings per week starting at 7am PT or finishing at 7pm CET
- Readiness to travel several times a year for company retreats and business events
- We value the benefits of in-person collaboration and expect candidates to primarily work at our office locations

## Compensation

$135K – $240K + Bonus + Equity

## What we offer

- A competitive compensation package
- 30 days paid vacation per year
- Comprehensive health insurance for US based Beginners
- 401K with company match for US based Beginners and Direktversicherung for German Beginners
- Quarterly company-wide retreats
- Monthly wellness benefit
- Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland
- Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth
- A buddy to help you get settled

*Varies by country and does not apply to internships

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for.

It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment.

Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.

## About Inceptive

## Company Overview
- **One-liner**: Inceptive builds end-to-end foundation models that learn to design sequence-based medicines (e.g., mRNA, siRNA, ASOs, peptides) by training on diverse observations of life.
- **Entity Type**: Private (Series A)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2021
- **Founders**: Not publicly available (company is "founded by AI and biochemistry pioneers")

## Core Business
- **Primary industry**: Biotechnology / Artificial Intelligence for drug discovery
- **Target customers**: B2B – pharmaceutical and biotech partners (e.g., Alnylam Pharmaceuticals)
- **Mission statement**: "To positively impact everyone through biological software" – from the careers page.

## Products & Services
- **Foundation Models for Drug Design**: A suite of deep learning models trained on heterogeneous data (sequence, function, structure) to generate novel therapeutic molecules. The models are designed to extrapolate beyond known molecules, yielding superior drug candidates.
- **Wet Lab Validation**: In-house experimental lab that rapidly ranks models and validates designs in vitro and in vivo, closing the in silico-to-biology loop.
- **Partnership Platform**: Co-designs novel medicines with leading drugmakers, providing custom models, data generation, and knowledge transfer.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding raised – **$120M** (latest Series A of $100M, closed approximately 2023) [cbinsights.com](https://www.cbinsights.com/company/inceptive)
- **Notable Investors/Partners**: Andreessen Horowitz, NVentures, Artis Ventures, Section 32, Obvious Ventures [cbinsights.com](https://www.cbinsights.com/company/inceptive); Strategic collaboration with **Alnylam Pharmaceuticals** (up to $2B total, with $30M upfront including equity) [cbinsights.com](https://www.cbinsights.com/company/inceptive)
- **Growth Signals**: 
  - June 2026: Alnylam partnership valued up to $2B, significantly boosting Inceptive’s credibility and pipeline access.
  - Headcount *conflicting reports*: 21 employees per CB Insights, 40 per PitchBook – both recently cited; fast-growing team with offices in Palo Alto, Berlin, and Zurich [cbinsights.com](https://www.cbinsights.com/company/inceptive) [pitchbook.com](https://pitchbook.com/profiles/company/495561-34)

## Competitive Advantages
- **Antedisciplinary culture**: No titles; everyone is a "Beginner" – cross-training across biology, AI, and engineering to break silos.
- **Wet + Dry integration**: Rapid iterative cycles between computational design and experimental validation, reducing time from idea to drug candidate.
- **Model generalizability**: Trains on massive heterogeneous data (public, in-house, partner) to generalize across programs, unlike structure-only approaches.
- **Extrapolation ability**: Proprietary algorithms designed to iteratively improve molecules beyond the best seen in training data.

## Strategic Focus
- **Current priorities**: Scaling experiments for AI-designed medicines, advancing commercial strategy, and expanding partnerships (e.g., Alnylam) to bring more candidates to the clinic.
- **Geographic expansion**: Building teams across Palo Alto, Berlin, and Zurich.

## Why Work Here
- **Culture**: "Beginners only" – humble, curiosity-driven environment where everyone learns from each other. No formal titles, emphasizing collaboration over hierarchy.
- **Work model**: Hybrid/office presence expected at one of three hubs (Palo Alto, Berlin, Zurich); roles range from AI research to wet-lab science.
- **Notable perks**: Work on "the beach" where wet and dry science meet; direct impact on designing real medicines.
- **Engineering culture**: Strong emphasis on deep learning, high-throughput data generation, and continuous in silico/in vitro cycles.

## Sources
1. [inceptive.com](https://inceptive.com/)
2. [job-boards.greenhouse.io/inceptive](http://job-boards.greenhouse.io/inceptive)
3. [cbinsights.com - Inceptive profile](https://www.cbinsights.com/company/inceptive)
4. [pitchbook.com - Inceptive profile](https://pitchbook.com/profiles/company/495561-34)

## Other roles at Inceptive

- [Building the Experimental Engine for Models of Life](https://feeny.ai/job/building-the-experimental-engine-for-models-of-life-inceptive-palo-alto-s2n4k82x0ck8) — Palo Alto, CA
- [Data selection and quality evaluation for biological foundation models](https://feeny.ai/job/data-selection-and-quality-evaluation-for-biological-foundation-models-z1cpt3r5mnr4) — Palo Alto, CA
- [Computational design of biological experiments for model development](https://feeny.ai/job/computational-design-of-biological-experiments-for-model-development-inceptive-fqhxd5ef2mgb) — Palo Alto, CA
- [Secure Data Infrastructure for AI](https://feeny.ai/job/secure-data-infrastructure-for-ai-inceptive-berlin-j1j4rq3d43w8) — Berlin, Germany
- [Leading Data-Driven Lab for AI Medicines](https://feeny.ai/job/leading-data-driven-lab-for-ai-medicines-inceptive-palo-alto-wnh3f1anxnq2) — Palo Alto, CA
- [Foundation and generative models for biomolecules](https://feeny.ai/job/foundation-and-generative-models-for-biomolecules-inceptive-berlin-germany-or-hb7a3f5z7rea) — Berlin Germany OR Palo Alto CA OR Zurich, Switzerland
- [High-throughput data generation to advance ML design](https://feeny.ai/job/high-throughput-data-generation-to-advance-ml-design-inceptive-palo-alto-7qeq4fb84hgq) — Palo Alto, CA
- [Advancing Inceptive's commercial strategy](https://feeny.ai/job/advancing-inceptive-s-commercial-strategy-inceptive-palo-alto-s2v5zv9xftke) — Palo Alto, CA
- [Open Apply](https://feeny.ai/job/open-apply-inceptive-palo-alto-k5b609n7v26m) — Palo Alto, CA / Berlin, Germany / Zurich, Switzerland