# Jobgether — Tech Lead

- Generated: 2026-08-31 11:12:02 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4459732686/
- User-provided LinkedIn posting: https://www.linkedin.com/jobs/view/4459732686/
- Posting time: approximately 2026-08-30 03:12 PM EDT (estimated from LinkedIn's '20 hours ago' at capture)
- Applicants: Not disclosed
- Work model/location: Remote within the eligible United States region; LinkedIn location: United States
- Compensation: Not disclosed
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: FAIL — 72%

## Direct-match strengths

Hands-on AI/LLM architecture, startup delivery, coding, mentoring, hiring, sprints, scalable systems, product partnership, and engineering quality.

## Hard or material gaps

Hard compensation-policy failure for a non-Director title. The employer is anonymous, the role expects roughly 75% coding and is positioned as a path toward Engineering Manager, creating material down-level/overqualification risk; Ruby on Rails, React, Elasticsearch, and Redis are not core documented strengths.

## Evidence map

1. Greenfield LLM product delivery — direct AssistX and SuccessKPI evidence.
2. Hands-on engineering and architecture — direct Python, APIs, databases, cloud, agentic AI, and platform work.
3. Mentoring, hiring, and sprint leadership — direct teams of 7, 11, 24, and 25.
4. Scalability, reliability, debugging, and delivery practices — direct production-platform evidence.
5. Specific stack — PostgreSQL is direct; Ruby on Rails, Elasticsearch, and Redis are not claimed, though listed as flexible.
6. Level and compensation — material down-level risk plus hard undisclosed-compensation failure.

## Full normalized job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Tech Lead based in United States. This is an exciting opportunity for an experienced Tech Lead to take ownership of technical direction, execution, and team leadership within a fast-growing, post-Series A startup. You’ll work closely with the founding team and play a central role in shaping engineering priorities and delivering high-impact products. A major focus will be leading greenfield initiatives powered by Large Language Models and modern AI technologies. The role combines technical leadership with people and process management, while remaining strongly hands-on — with around 75% of your time spent close to the code. You’ll help solve challenging engineering problems across a modern, scalable sales technology platform used by rapidly growing businesses. You’ll also act as a key bridge between engineering and product, ensuring effective collaboration across multiple initiatives. This role offers an excellent path for a strong technical leader looking to develop toward an Engineering Manager position. Accountabilities Partner closely with the founders to define engineering priorities, execution plans, and technical direction. Serve as a key link between engineering and product, maintaining alignment across teams and parallel projects. Lead greenfield projects from concept through delivery, including products and capabilities powered by LLMs and AI technologies. Provide technical leadership, mentorship, and guidance to engineers while maintaining a high standard for engineering quality. Plan and facilitate engineering sprints to enable predictable, efficient, and high-quality delivery. Remain hands-on with the codebase, contributing through coding, code reviews, debugging, architecture, and platform improvements. Identify and resolve complex technical challenges while improving system stability, scalability, and performance. Build and grow a high-performing engineering team, taking ownership of the recruitment process from sourcing through hiring. Support engineers’ professional development through regular feedback, mentorship, and meaningful growth opportunities. Contribute to broader engineering practices, processes, and initiatives across the organization. Requirements Several years of professional software engineering experience, with demonstrated experience taking technical ownership of projects or teams. Previous experience as a Tech Lead, Senior Engineer with leadership responsibilities, or in a comparable technical leadership position. Strong software engineering fundamentals and the ability to remain hands-on, with a willingness to spend significant time coding, reviewing changes, and debugging. Experience leading or mentoring engineers and a genuine interest in helping others grow. Previous people-management or team-leadership experience is highly valued, particularly for candidates looking to progress toward an Engineering Manager role. Strong communication and collaboration skills, with the ability to work effectively across engineering, product, and leadership. Experience delivering complex projects in fast-paced environments and coordinating multiple initiatives simultaneously. Familiarity with AI, Large Language Models, NLP, or other modern AI technologies is a strong advantage. Ability to reason about system architecture, scalability, reliability, and engineering trade-offs. Experience with Ruby on Rails, React, PostgreSQL, Elasticsearch, Redis, or similar technologies is welcome, but direct experience with this specific stack is not required. A pragmatic, ownership-oriented mindset and the ability to balance technical excellence with business and product priorities. Benefits Competitive salary. Health insurance. Stock options. Remote working opportunity within the eligible region. Flexible, distributed working environment. Opportunity to work on greenfield products involving LLMs and modern AI technologies. Significant technical ownership and direct exposure to company leadership. Strong opportunities for professional growth, including a potential path toward Engineering Management. Collaborative and technically ambitious startup environment. Annual company trip to a secret destination. Inclusive workplace committed to valuing skills, knowledge, personality, and diverse backgrounds. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

## Artifact metadata

- Resume and cover letter: Not generated under the fit gate.
- Archived JD capture: https://files.keithsteward.com/Jobgether/Keith_Steward_Tech_Lead_4459732686_JD_capture.md
- Google Drive used: No