Pre-Sales Program Lead, Forward Deployed Engineering

Design, pilot and refine the pre-sales programs that run Forward Deployed Engineering's pipeline: how opportunities are generated, qualified, routed, pursued, and won across a high-velocity portfolio

Own the prioritization heuristics that shape the portfolio, making deliberate trade-offs across commercial, research, and mission-oriented engagements and making those trade-offs legible to leadership

Lead the most complex and high-stakes pre-sales pursuits personally — the ones where deal size, organizational complexity, or strategic sensitivity puts a senior operator in the room — while simultaneously building the programs that let a growing team handle everything else.

Own definition of the pursuit-to-signature process: scoping, proposal development, approvals, and the legal and finance workflows that get contracts signed without cutting corners

Build the partner coordination motions for pre-sales: when to hand an opportunity to a partner, when to team, and how to run subcontract or co-delivery pursuits with tight management

Define the process for handing off deals from sales to delivery, working closely with the Post-Sale Programs Lead so signed engagements arrive with what delivery teams need to start fast

Stand up the metrics, dashboards, and reporting that measure pipeline health, conversion, cycle time, and portfolio mix and use them to drive continuous improvement

Codify how the team pursues work into playbooks and self-service programs that let a growing organization run without bottlenecking on individual people

Build Claude into proposals, deal qualification, and pipeline tracking, setting the bar for what AI-native looks like.

Partner across Sales, Partnerships, Legal, Finance, and Product to keep Forward Deployed Engineering's pre-sales interfaces with the rest of the business clean and predictable

Have built or scaled the pre-sales side of a services or delivery business — professional services, consulting, solutions or field engineering, or similar — owning qualification, prioritization, and forecasting across a portfolio of concurrent pursuits

Bring enough technical fluency to scope and defend AI and software services work with engineering leaders and technical buyers, without being the one who builds it

Have taken complex deals through contracting, working with legal, finance, and procurement stakeholders to get agreements signed

Have designed program, playbooks, or cadences that other people actually adopted and ran — not only documented

Bring a strong analytical toolkit: you're fluent working with data, have stood up metrics and reporting from scratch, and use them to drive decisions

Communicate clearly and credibly with audiences from engineers to executives, and can influence without authority across functions

Work effectively in high-ambiguity environments and are comfortable building where no process exists yet

Are excited about Anthropic's mission to develop AI that is safe and beneficial

Experience with partner-involved deal motions, including subcontracting, co-delivery, teaming, or channel handoffs

Have been the first programs or operations hire, or built such a function from scratch, at a company that scaled significantly during your tenure

Have hired, developed, and led programs or operations teams

Experience in AI or technical professional services, with enough technical fluency to reason about what modern AI products make possible

Experience standing up pre-sales tooling and systems, including CRM, proposal and approval workflows

Extensive experience in deal operations, revenue programs, or services go-to-market at a high-growth technology company

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.

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.

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.

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.