Deployment Strategist

Deployment Strategist

Company: Confidential — AI-native operating system for mortgage servicing
Location: Hybrid in New York, NY (Union Square) or San Francisco, CA (SoMa), 3-4 days per week in office; 10-20% domestic travel
Compensation: $140,000 - $200,000 + meaningful equity; sign-on bonus available
Employment Type: Full-time
Visa Sponsorship: Visa transfers (OPT, H-1B transfer)

About the Company

The client is the AI-native operating system for mortgage servicing. Mortgage servicing underpins US home ownership yet runs on software that pre-dates the internet; the client built a system of record that unifies workflows, data and money movement in one platform that scales with complexity. $100B+ in mortgages run on the platform, with 3x lower servicing cost and higher customer satisfaction.

Founded in 2019, the client has about 300 people, has raised $230M+ from Andreessen Horowitz and WestCap, and holds $500M in signed contracts.

The Role

The client is hiring Deployment Strategists (3-6 years) to own live enterprise deployments of ValonOS for the largest mortgage servicers in the country. This is for a high-horsepower operator from consulting, banking, investing or a high-growth startup who wants to move from making recommendations to owning outcomes end to end, deploying eight- and nine-figure enterprise contracts.

What You Will Do

• Own enterprise deployments from understanding a client's operation through platform configuration, adoption and measurable business results.
• Spend time on-site with customers observing workflows, digging into data and solving operational problems.
• Partner with engineering and product to turn messy legacy workflows into scalable software.
• Make decisions with incomplete information across deployments that all look different.
• Build the playbooks, tooling and processes that make future rollouts faster.

What You Bring

• 3-6 years in strategy consulting (MBB), investment banking, private equity, hedge funds or a high-growth startup
• Undergraduate degree from a top-20 university (or international equivalent)
• Demonstrated, daily AI fluency with AI tools and coding agents
• Built playbooks, tooling or processes from scratch
• High agency and ownership; comfortable in ambiguity
• Career stability (promotions within a company are a strong plus)
• Hybrid in NYC or SF 3-4 days a week and 10-20% domestic travel

Nice to Have

• Experience at a fast-growing startup such as Scale AI
• SQL, Python or data warehousing familiarity

Benefits

Lunch and dinner on in-office days, dog-friendly NYC office, relocation assistance up to $10K.

Interview Process

Recruiter screen (30 min), strategic thinking interview (45 min), executive screen (30 min), final panel (about 75 min).

Tech Stack

SQL, Python, AI coding agents, data warehousing

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REVENUE: 14% of first-year salary. Est. fee per hire $20K-$28K; 10 seat(s) = up to $238K if all filled.

TARGET COMPANIES (client (MBB/top IB named)): McKinsey, BCG, Bain, Goldman Sachs, Evercore, Lazard, Scale AI.

BEST-FIT CANDIDATE: 3-6 yrs; MBB/top IB/PE-HF or high-growth startup; top-20 undergrad; daily AI tool use + end-to-end ownership; visa: transfers only; location: NYC or SF hybrid 3-4 days + travel. Avoid Deloitte/Accenture/KPMG/PwC unless clear operator traits, sub-1yr tenures, too junior or too senior.