Deployment Lead

Reejig; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity

Job summary

Reejig helps enterprises map the work their people do and measure the impact of AI-driven work. You’ll embed with a small number of enterprise customers, build workflows in the platform, and guide them through validation sessions to ensure real value.

You’ll drive multi-account deployments, manage plans and milestones, enable customers to operate independently, and surface growth opportunities for the footprint. Equity is part of the package.

Qualifications

• 4+ years in enterprise SaaS implementation, professional services, or similar deployments.
• Strong project management chops across parallel deployments with clear plans and status reports.
• Fluency with AI tools and practical experience using them in deployments.
• Ability to engage CHRO and data teams with credibility in the same day.
• High tolerance for ambiguity and a bias to ship results.
• Comfort driving transformation with hands-on, practical execution.

Responsibilities

• Deep deployment into enterprise accounts, understanding orgs, politics, and decision points.
• Hands-on configuration and workflow building inside the platform with customer teams.
• Diagnostic work to locate where impact lives in large organizations.
• Project and program management across your portfolio with governance cadences.
• Enablement to ensure customers run the system themselves, not depending on you.
• Drive renewal opportunities by expanding footprints and collaborating with Sales.

Skills

Enterprise SaaS implementation

Project management

AI tools fluency

Executive stakeholder management

Ambiguity tolerance

Job description

Reejig gives enterprises a structured, living map of the work their people do — every job, every task, scored for where AI creates leverage and where humans should stay. Fortune 500 companies buy it because they can't answer "what work do we actually do here?", and they need to before they can answer anything about AI.

Buying it is the easy part. This role is the hard part.

You’ll embed with a small number of enterprise customers and drive them to measurable impact. That means being in the product with them, building the workflows, sitting in the validation sessions, catching the data problem before they do, and knowing enough about their business to tell them when they're solving the wrong thing. It's consulting judgment with your hands on the keys.

What you’ll own

• Deep deployment into a portfolio of enterprise accounts — you know their org, their politics, and where the real decisions get made
• Hands-on configuration and workflow build inside the platform alongside customer teams
• Diagnostic work: finding where impact actually lives inside a 40,000-person company
• Project and program management across your portfolio. Plans, milestones, dependencies, sign-offs, status reporting, and the governance cadence that keeps multiple enterprise deployments on track simultaneously. Unglamorous, and it's what makes transformation land
• Enablement, so the customer runs it themselves rather than depending on you forever
• Renewal, which follows from the deployment working. Where you see room to grow the footprint, you surface it and Sales runs it
• The tightest feedback loop we have into product

What you’ll bring

• 4+ years in enterprise SaaS implementation, professional services, solutions architecture, or deployment — or transformation consulting with a strong hands-on streak
• Proven project management chops across parallel enterprise deployments — you own the plan and the status report, not just the technical work
• Genuine fluency with AI tools. Building with them, not just discussing them
• Enterprise credibility: you can hold a room with a CHRO and a room with a data team on the same day
• High tolerance for ambiguity. The map is being drawn while you walk
• Bias to ship. A good readout on Thursday beats a perfect one next month

What good looks like at twelve months

Customers are running the system themselves. Executive sponsors treat you as a transformation partner rather than a software manager. And the product is measurably better because of problems you surfaced.

What it’s like to work here

You’ll do well here if you move fast with calm precision, use AI daily, take real ownership, escape early, and care deeply about customers. If you prefer a slower pace, clearer guardrails, or more indirect communication, this probably isn't the right fit — and that's genuinely fine. We'd rather be straight with you now.

Why now

Reejig is at a point of real inflection. We’re building the company that defines how organizations operate in the AI era. Joining at this stage means shaping the thing rather than inheriting it — with equity that reflects that.