Role Details

Location

New York City, NY

Salary

$320,000

Department

Engineering & Design - Product

Type

Full-time

Vertical

AI

Posted

2h ago

Hiring Manager

Best Guess

MK

Mike Krieger

Chief Product Officer

Profile

Job Description

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's Verticals team builds AI-powered products purpose-built for the industries where AI can have the biggest impact. We're in early growth, moving fast, and earning the trust of enterprise customers who have seen previous vendors promise transformation and deliver demos. This role is about building products that actually change how financial services teams work, and building the team that can do that sustainably.

We're looking for an Engineering Manager to lead the engineering work serving our financial services customers, with a near-term focus on deeply integrated experiences within Excel and PowerPoint. You'll support a team working on document-centric AI workflows—the kind that show up in investment banking, asset management, insurance, and corporate finance every day. Beyond your team’s work, you'll be a cross-vertical contributor, helping the broader Verticals team learn from what you're building and shape what markets we tackle next.

This is a high-ownership role at a company that's genuinely in a position to define what AI looks like in professional services for years to come.

Responsibilities

Lead and develop a team of engineers building AI-powered experiences for financial services enterprise customers
Shape the roadmap with product and design; you'll have a real voice in what we build and why
Partner with Anthropic's research team so model capabilities keep pace with your product and your team's evaluations feed back into training
Own engineering execution end to end — planning, prioritization, delivery quality, and team health
Keep the product reliable on Claude and on platforms you don't control (e.g., Microsoft 365) — own incident response and the investments that reduce how often you need it
Recruit, onboard, and develop strong engineers; give direct feedback, grow careers, and build a team culture that earns the confidence of enterprise customers

You may be a good fit if you

Are a product-minded EM — you've built and shipped products yourself, you have opinions about what to build, and you'd rather debate the roadmap than just receive it
Have shipped AI-powered products and know what it takes to make them reliable in high-stakes use
Take the craft of management seriously: clear feedback, strong 1:1s, hard conversations handled well, real investment in your team's growth
Operate well alongside enterprise sales and CS — comfortable in customer conversations, and clear on how product and engineering decisions shape go-to-market
Thrive in early-growth environments where the product is real but the playbook is still being written

Strong candidates may also have

Domain experience in financial services — investment banking, asset management, insurance, or corporate finance — from inside the industry or from building for it
Managed vendor or platform relationships where your product depended on someone else's roadmap
Familiarity with model evaluation frameworks and how they inform product decisions, not just research ones

Representative projects

Working with internal Anthropic teams in finance and legal to prototype next generation products in those application domains
Partnering with a banking customer to understand their deal documentation workflow, then working with product to translate that into a concrete engineering roadmap
Building an incident response and communication playbook for outages or degradation in Microsoft 365 integrations—and running the post-mortems that drive real improvements
Working with cloud partners and enterprise customers to ensure your products are supported across all types of Anthropic deployments

Deadline to apply: None. Applications will be reviewed on a rolling basis.

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.

Annual Salary:

$320,000—$485,000 USD

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