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Tech Lead Manager​/Full Stack

Job in Palo Alto, Santa Clara County, California, 94301, USA
Listing for: PLACEM!NT
Full Time position
Listed on 2026-06-10
Job specializations:
  • Software Development
    Software Engineer
Salary/Wage Range or Industry Benchmark: 220000 - 280000 USD Yearly USD 220000.00 280000.00 YEAR
Job Description & How to Apply Below
Position: Tech Lead Manager / Full Stack
Job Description
Company
Confidential

AI Workforce Optimization Platform
Location
San Francisco Bay Area, CAHybrid
Schedule
Full-Time Hybrid (Bay Area on-site + remote flex)
Compensation
$220,000 - $280,000 base + 5% equity + full benefits
Employment
Direct HireIC/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.

What You'll Do
  • 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.
Requirements

What We Need
  • 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.

Benefits

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 Opportunity

This 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.

Hiring Process

Apply
align

M!

NT Review
→ Recruiter Interview → Client Interview(s) → Offer → place

M!

NT

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  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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