Deployment Strategist, Cleared (TS/SCI)
- Compensation
- $150K–$210K
- Location
- Washington, DC
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- 5+ years in SaaS implementation, onboarding, solutions engineering, or a product-adjacent delivery role (Implementation Consultant, Solutions Architect, Technical Program Manager), with a track record
- Technical fluency: comfortable working with APIs, data models, and system configurations, and able to hold your own in a conversation with engineers about integration tradeoffs.
- Experience translating customer requirements into implementation plans and technical workflows, not just a status tracker.
- Comfort operating inside classified or otherwise accredited environments, or a clear ability to pick up new compliance and data-handling constraints fast.
- A bias toward action: you'd rather build the process while running the deployment than wait for someone to hand you one.
Nice to have
- Have deployed software inside a classified or accredited environment before and know where the real friction lives.
- Have worked a program where a major government data and AI platform vendor was prime, or have hands-on exposure to leading government data integration and AI platforms.
- Have touched federal, state, or local government implementation work specifically, versus enterprise SaaS generally.
- Have built implementation playbooks or internal tooling from scratch at an early-stage company.
Full description
Deployment Strategist, Cleared (TS/SCI)Location: Washington, DC. Hybrid.
Compensation: $150,000 to $210,000 base, plus equity.
Clearance: Active Top Secret or TS/SCI clearance required. US citizenship required.
About the Client
Government technology has failed citizens, public servants, and service members for decades. Our client is fixing that, replacing the legacy systems federal agencies run on with modern software, built with craft, from the citizen-facing services people rely on every day to the platforms that protect lives and critical infrastructure and help veterans access their benefits. They build systems of record, of national consequence, and their AI-native approach lets them do it in weeks and months, not years. Growth has been rapid, and their software is on track to reach a large share of Americans across a growing number of federal agencies. The company is venture-backed and based in the US. Client name disclosed upon mutual interest.
About the Role
This role requires an active Top Secret or TS/SCI clearance. United States citizenship is required, because it is a condition of eligibility for the clearance the role depends on.
This is a hybrid role based out DC. Candidates must reside in DC or be able to commute to work out of our office at least three times a week (Tuesdays - Thursdays).
You'll own the full implementation journey for our client's federal customers: scoping the rollout, configuring the platform, training agency staff, and staying in the room until the deployment is actually adopted, not just launched. You'll work inside classified and accredited environments where every integration decision has to account for what data can move where, and you'll partner closely with the engineering team to make sure what gets shipped actually fits how the agency operates.
Responsibilities
- Own end-to-end federal implementations: discovery, scoping, configuration, data migration, integrations, training, go-live, and post-launch support.
- Lead onboarding for agency stakeholders and career staff, translating what they actually need into a rollout plan that survives contact with a live agency.
- Work inside classification and data-handling constraints as a design input, not an obstacle, coordinating closely with engineering on what can be built and how.
- Translate patterns from the field back to Product and Engineering: edge cases, workflow gaps, and the things agencies never put in the RFP but need on day one.
- Act as the connective tissue between customer-facing implementation and the engineers building against mission-critical government data and AI platforms, so what ships matches what was promised.