Technical Lead driving execution across backend, frontend, mobile, AI, and data at an AI-driven consumer platform. Acts as a technical partner to founders and engineering team, turning product goals into plans and solving hard technical problems.
Salary not listed
Remote5+ YOEEngineering Management
About the role
Responsibilities
Lead technical execution across backend, frontend, mobile, AI, and data initiatives
Translate ambiguous product goals into clear technical plans, milestones, owners, and trade-offs
Dive deep into hard technical problems and help drive them to resolution
Partner with founders, product, design, and engineering on technical decisions
Coordinate cross-domain engineering work and remove execution blockers
Raise the bar for engineering quality, speed, reliability, and maintainability
Help define hiring needs, role requirements, interview criteria, and technical evaluation standards
Build internal AI workflows and foster an AI-native engineering culture
Qualifications
5+ years of professional software engineering experience
Experience leading large-scope technical work across multiple engineers, teams, or product areas
Experience as a Technical Lead, Tech Lead, Engineering Lead, Head of Engineering, CTO, Staff Engineer, or hands-on Engineering Manager
Strong engineering fundamentals and technical judgment across multiple domains
Deep familiarity with AI tools and ability to use AI to augment technical execution and decision-making
Ability to operate under ambiguity and turn unclear goals into executable plans
Strong communication skills with founders, product managers, designers, and engineers
Startup-level ownership, urgency, and willingness to dive into details
Preferred Qualifications
Experience with agentic AI systems, LLM workflows, AI agents, or AI-assisted product creation
Experience with machine learning, recommendation systems, ranking, experimentation, or data pipelines
Experience building consumer-facing products, mobile products, social platforms, creator tools, or developer tools
Experience in a VC-backed startup or high-growth technology company
Experience hiring, interviewing, or defining technical bars for engineering roles
Compensation & Benefits
Top compensation package, including competitive salary and meaningful equity
Lead and grow teams of product engineers at Render, partnering with PMs and designers to translate user needs into scalable developer platform features. Requires 8+ years engineering experience and 4+ years managing teams with strong technical and product mindset.
236k – 324k/yr
Remote8+ YOEEngineering Management
Tech Lead / Engineering Manager
AurelianSeattle, WA
Hands-on Tech Lead / Engineering Manager to lead a small pod of 3-4 engineers at Aurelian, building AI tools for 911 centers. 70% IC (ship code, own technical direction) and 30% leadership (mentoring, hiring) initially, transitioning to full EM role. Requires 3+ years engineering experience with informal leadership, strong coding skills, customer empathy, and desire to grow into management.
160k – 300k/yr
On-site5+ YOEEngineering Management
Engineering Manager
ElicitOakland, CA
Lead and grow a high-performing engineering team of up to 8 engineers at an AI startup focused on improving reasoning with language models. Balance people leadership, technical judgment, and product execution while coaching engineers, driving roadmap delivery, and raising the engineering bar in a high-agency environment.
250k – 300k/yr
Hybrid7+ YOEEngineering Management
Engineering Team Lead
SangomaAustin, TX
Technical lead for Sangoma's CX/CCaaS platform engineering team. Hands-on development of scalable cloud communications solutions while mentoring engineers, driving architecture, and collaborating with product and cross-functional teams. Requires 6+ years software engineering experience, leadership background, and telecom/SaaS domain knowledge.
Salary not listed
Remote6+ YOEEngineering Management
Senior Engineering Manager, Production Engineering
HarveySan Francisco, CA
Lead the Infrastructure Foundation & Production Quality Engineering team at Harvey, owning core compute, networking, Kubernetes, and workflow orchestration platforms. Drive reliability, scalability, security, and cost optimization for rapidly growing AI workloads while mentoring engineers and partnering with cross-functional leaders.