Principal Software Engineer, Tech Lead (TypeScript)

Unanet

4d•$160,000 - $175,000

About The Position

We’re looking for a Tech Lead / Architect to help shape the next phase of Growth Studio, Unanet’s AI-first growth platform for Government Contractors (GovCon). Growth Studio centralizes pipeline, people, and opportunity data, helps teams identify and qualify opportunities faster, and accelerates capture and proposal workflows through AI-powered insights and automation. This role is a strong fit for an experienced technical leader who enjoys defining architecture, guiding implementation across teams, and solving complex product and platform problems in a fast-moving environment. The right candidate will help establish the technical direction for Growth Studio as it scales across AI-enabled workflows, integrations, data pipelines, and customer-facing product experiences. This is a unique opportunity to help shape a fast-moving, AI-first product with meaningful market potential. You’ll work in an entrepreneurial environment with significant autonomy, challenging technical problems, and the opportunity to influence both product direction and engineering execution in a visible way.

Requirements

8+ years of experience building and evolving complex software products, with significant experience in technical leadership, solution design, or architecture
Comfortable working across a modern application stack, with experience in JavaScript or TypeScript-based systems and supporting backend infrastructure
Strong experience with modern web app architecture, backend services, APIs, and distributed or event-driven systems
Experience designing systems that balance product velocity with reliability, security, and long-term maintainability
Experience with AI-enabled product capabilities, including LLM APIs, prompt engineering, embeddings, or related technologies
Strong communication skills and the ability to explain complex technical concepts to both technical and non-technical audiences
Able to work effectively in a high-ownership environment where ambiguity is real and strong judgment matters
Passionate about building products that help customers move faster and win more in the GovCon space

Nice To Haves

Experience architecting AI-first or data-rich SaaS products in a high-growth environment
Infrastructure literacy spanning cloud platforms, networking, containers, or adjacent operational concerns
Experience building systems that ingest and unify multiple data sources into a single user workflow or system of record
Experience building agents or automation that improve product capabilities or engineering effectiveness
A strong instinct for when to standardize, when to iterate, and how to help teams move quickly without compromising design quality

Responsibilities

Lead architecture and technical decision-making across Growth Studio teams, with responsibility for the overall technical architecture and long-term design direction of the product
Define scalable patterns for services, APIs, data flows, integrations, and AI-enabled workflows that support Growth Studio’s capture, qualification, and proposal use cases
Partner closely with Product Managers, Engineering, UX Design, QA, and Ops to translate business goals into practical technical roadmaps and implementation plans
Architect elegant solutions to complex, open-ended problems, especially where customer workflows, data quality, speed, and AI outcomes intersect
Guide the design of integrations with adjacent systems and data sources, including internal and external platforms that support Growth Studio workflows
Establish and reinforce best practices for software design, secure coding, observability, performance, and maintainability across the product
Perform architecture and code reviews, provide clear technical feedback, and raise the bar for quality across teams
Lead proofs of concept and technical spikes to validate solution approaches early and reduce delivery risk
Mentor Engineers on system design, tradeoff analysis, technical communication, and architectural thinking
Create technical documentation, diagrams, and decision records that improve cross-team alignment and execution clarity
Help the organization make thoughtful use of AI technologies in the product and, where appropriate, in the software development lifecycle (SDLC)
Occasionally engage with customer-facing teams or customers when deeper technical context is needed to support product direction or to resolve complex issues