Corporate Development Integration Lead
Anthropic · San Francisco, United States · 29d ago
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is seeking a Corporate Development Integration Lead to own the critical post-signing phase of our M&A activity — from confirmatory diligence through integration planning to full operational follow-through. As Anthropic's corporate development function matures and transaction volume increases, this role will serve as the connective tissue between deal teams, product and engineering organizations, and the acquired teams themselves, ensuring that acquisitions deliver on their strategic thesis.
This is a high-visibility, cross-functional role that sits at the intersection of M&A execution and operational excellence. You will define and scale the integration playbook, build repeatable processes for technical and organizational integration, and work directly with executive leadership to ensure each deal realizes its intended value. The ideal candidate has deep prior integration experience at high-growth technology companies and brings a structured, hands-on approach to navigating the complexity that arises after a deal signs.
You are energized by turning strategic intent into operational reality. You thrive working across organizational boundaries, are comfortable operating in ambiguous and fast-moving environments, and understand that integration is where M&A value is ultimately created or destroyed.
Join us in building the infrastructure that ensures Anthropic's acquisitions create lasting value — both for the mission of safe AI and for the brilliant teams we bring into the organization. This role offers a rare opportunity to shape how one of the most consequential companies in AI executes and integrates its growth strategy.
Key responsibilities
- Lead confirmatory diligence workstreams post-LOI, coordinating with legal, finance, product, engineering, and research teams to validate the strategic and technical thesis before deal close
- Develop and maintain due diligence frameworks tailored to Anthropic's acquisition types (acquihires, technology acquisitions, transformational deals), ensuring consistent and thorough assessment of technical assets, talent quality, IP, and organizational fit
- Own the integration readiness assessment — identify risks, flag cultural or operational gaps, and provide go/no-go input to deal sponsors before signing
- Coordinate technical deep dives with engineering and research leadership to validate product-market fit, code quality, and team capabilities
- Design and own end-to-end integration plans for each transaction, covering organizational structure, reporting lines, tooling migration, product roadmap alignment, and day-one operational continuity
- Build and maintain a scalable integration playbook, establishing best practices, templates, and decision frameworks that can be reused across future deals
- Develop integration timelines and milestones in close coordination with product, engineering, HR, IT, and legal to ensure cross-functional alignment before and at close
- Facilitate introductions and relationship-building between acquired teams and internal stakeholders during the planning phase to accelerate ramp and reduce post-close friction
- Model financial and operational scenarios to stress-test integration assumptions and identify contingency plans
- Drive day-one and day-100 integration execution, tracking milestones against plan and escalating blockers to deal sponsors and executive leadership in real time
- Serve as the primary point of contact for acquired teams during the transition period, ensuring they have the information, access, and organizational support needed to be productive and retained
- Partner with HR and people managers to design onboarding and retention plans for key talent, with particular focus on acquired engineering, research, and product leaders
- Conduct post-integration retrospectives to capture lessons learned, measure outcomes against the original deal thesis, and feed insights back into future integration planning
- Build and report integration KPIs to leadership, including retention rates, product milestone achievement, and operational readiness benchmarks
Minimum qualifications
- Possess strong technical fluency — either through prior software engineering or product experience, or deep familiarity with evaluating technical organizations and codebases
- Are skilled at building cross-functional relationships and can effectively coordinate across product, engineering, legal, HR, and finance teams
- Excel at translating strategic objectives into actionable operational plans with clear timelines, owners, and accountability
- Thrive in fast-paced, ambiguous environments and can maintain both urgency and precision when managing multiple parallel workstreams
- Have strong written and verbal communication skills, with the ability to present integration status and recommendations clearly to executive leadership
- Are genuinely excited about AI safety and aligned with Anthropic's mission to build reliable, interpretable, and steerable AI systems
Preferred qualifications
- Have 10+ years of corporate development or M&A integration experience, with a demonstrated track record of leading post-acquisition integrations at high-growth technology companies
- Have direct experience in AI/ML companies or deep learning research environments, with an understanding of the unique talent dynamics in frontier AI
- Have built or significantly contributed to a corporate development integration function, including the creation of playbooks, frameworks, and repeatable processes
- Bring experience with acquihire integrations, including deep familiarity with technical talent retention and the unique challenges of integrating small, high-output engineering teams
- Have an MBA or advanced technical degree (Computer Science or equivalent)
- Demonstrate experience managing stakeholder expectations across multiple simultaneous integrations with competing timelines
- Possess experience with international or cross-border transaction integration, including navigating differing cultural norms and regulatory requirements
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.