Tech Lead Manager/Full Stack
Listed on 2026-06-07
-
Software Development
Software Engineer, AI Engineer (Applied/Software)
Palo Alto, United States | Posted on 06/04/2026
- Salary $220,000 – $280,000 base + 5% equity + full benefits
- State/Province California
- Country United States
Company
Confidential | AI Workforce Optimization Platform
Location
San Francisco Bay Area, CA | Hybrid
Schedule
Full-Time | Hybrid (Bay Area on-site + remote flex)
Compensation
$220,000 – $280,000 base + 5% equity + full benefits
Employment
Direct Hire | IC/Manager Hybrid (
70% technical / 30% people leadership
)
Write production code and own architecture at a platform that has scaled 2,400% in three years. At $220K–$280K base + 5% equity
, this role is for the engineer who is ready to lead without stepping back from the work.
- Own architecture and delivery of full-stack features from React
JS/Type Script UIs to backend services, APIs, and distributed data pipelines, on a platform that enterprise workforce planning teams depend on every day. - Design and build scalable data processing pipelines (batch and streaming) and distributed backend systems using Postgre
SQL, Redis, and Kubernetes. - Set the technical bar across the team: lead architecture reviews, own code quality and performance standards, drive CI/CD and TDD practices, and stay hands-on through the full software lifecycle including on-call.
- Manage, mentor, and grow a team of engineers. Own hiring, career development, and day-to-day delivery. Partner with Product and Design to scope technical plans and communicate progress, risks, and trade-offs to leadership.
- 7+ years of hands-on software engineering with a strong full-stack background: modern frontend (React, Type Script) and backend (Ruby, Python, or Node.js); proven experience designing and operating distributed systems at scale with RESTful APIs, Postgre
SQL, and cloud-native architecture (Kubernetes, containerization, microservices). - 2+ years of engineering management or tech lead experience with direct reports, mentorship, and team-level delivery ownership. You lead engineers, you are still writing production code
, and you make pragmatic, business-aware decisions in a fast-moving startup environment. - Solid engineering fundamentals across the full lifecycle: testing (Jest, Cypress, or React Testing Library), code review, CI/CD, TDD, design documentation, and performance monitoring. Deep frontend fluency in component architecture, state management, performance, and accessibility.
You translate complex technical concepts clearly for both engineers and non-technical stakeholders.
Strong advantage: React Native for mobile development; experience with Redis, Apache Pinot, or real-time analytics infrastructure; background in AI/ML systems or data pipeline orchestration; early-stage startup experience from Seed to Series C.
Schedule & Compensation$220,000 – $280,000 base salary + 5% equity + competitive benefits including medical, dental, and vision coverage. Hybrid schedule with Bay Area on-site presence and remote flex. Team events and offsites included. The equity position reflects a meaningful ownership stake at a company with documented enterprise traction and Inc. 5000 recognition.
About the OpportunityThis is a confidential search for a high-growth AI SaaS company,
Inc. 5000 ranked
, that has scaled 2,400% over three years and is expanding into large enterprise markets. The platform is production-proven, the team is lean and technical, and this TLM role carries direct influence over architecture, hiring, and product direction. Client identity is shared in the first conversation.
EOE + AI Disclosure
We're recruiting on behalf of our client/employer partner, an Equal Opportunity Employer. Reasonable accommodations are available - request assistance by contacting us at recruitingncy . We and/or the employer may use automated tools (including AI) to support parts of recruiting (e.g., organizing applications, identifying role-relevant qualifications, scheduling) with human oversight; these tools are not the sole basis for decisions; people make all hiring decisions, consistent with applicable laws (including California requirements where applicable).
place
M!
NT is supporting this confidential client with recruitment. All communication will come from a placemint.agency email address.
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