Onsemble Engineering Manager

Hajoca•San Francisco, CA

18d

About The Position

Are you a software engineer looking to make a real-world impact? Are you eager for an opportunity to shape the use of modern AI-native software? Are you a hands-on leader with an ownership mindset? If so, then we’d like you to join our dedicated team as Onsemble Engineering Manager. About the Role: The Onsemble Engineering Manager leads product development across our contractor-facing platform. Partnering closely with Product and Business leadership, they translate real customer needs into reliable, scalable software – all while building and supporting a small, high-leverage engineering team. This is a hands-on leadership role is accountable for execution, technical direction, and team health, while still staying close enough to the codebase and architecture to evaluate and guide technical decision making. In this role, you will:

Requirements

Bachelor's Degree in Computer Science, Data Science, or the equivalent combination of education, professional training, or work experience.
3 or more years of professional software engineering experience.
1 or more years in a technical leadership or engineering management role (formal or informal).

Nice To Haves

Have a strong background and familiarity with AI-assisted software development; modern web applications, with deep familiarity in React / Node.js ecosystems, and Claude Code.
Possess a solid understanding of backend APIs, data models, and system integrations.
Be comfortable making architectural decisions and explaining tradeoffs.
Have experience with the shipping production software used daily by real customers.
Demonstrate a practical orientation toward AI: using it to increase leverage and velocity, not novelty.
Have a strong ownership mindset with the ability to take responsibility for outcomes, not just tasks.
Be a clear communicator who proactively aligns engineers, product, and stakeholders.
Be a calm, pragmatic leader who thrives in ambiguity and fast-moving environments.
Demonstrate excellent interpersonal skills and the ability to work effectively across all levels of the business as well as with external vendors.
Be able to research, analyze data and solve complex technical and process-related problems.
Have strong attention to detail and the ability to meet deadlines.

Responsibilities

Lead Our Engineering Team
Hire, manage, mentor, and develop a small team of engineers, helping them grow in impact and autonomy.
Set clear performance expectations and goals surrounding ownership, delivery, and collaboration, and conduct regular performance evaluations to assess progress and provide feedback.
Actively practice and model AI-enabled software development in day-to-day work, using modern coding assistants and agentic tools to design, build, review, and ship production software.
Coach and mentor junior and senior engineers on their career, including responsible AI tool adoption to increase leverage, velocity, and quality while reinforcing strong engineering judgment and ownership.
Create an environment where engineers can move quickly without sacrificing quality or judgment. Setting aside time for the team to learn from mistakes and drive better business outcomes.
Drive Product Initiatives & Execution
Own the delivery of key product initiatives end-to-end, from discovery through launch and iteration.
Partner with Product to scope work, sequence builds, and make thoughtful tradeoffs between speed, quality, and durability.
Ensure the platform evolves in a way that supports increasing scale, complexity, and customer adoption.
Act with urgency, being responsive to important and time-sensitive matters and owning their resolution.
Set the Technical Direction
Set the technical direction for an AI-driven development model, where large portions of production code are authored, refactored, and tested with AI assistance.
Actively use and guide the team on tools like Claude Code and similar agentic coding systems to increase leverage, velocity, and code quality – while maintaining strong human judgment around architecture, correctness, and long-term maintainability.
Guide architecture and technical decisions across frontend and backend systems.
Maintain a high bar for code quality, reliability, and maintainability.
Ensure AI-enabled features are built responsibly, pragmatically, and in ways that deliver real customer value.
Ensure Operational Excellence
Improve development workflows, tooling, and processes to increase team velocity.
Identify risks early and address them through planning, communication, and technical strategy.
Act as a steady execution partner to leadership as the product scales.
Successfully complete required safety and compliance training programs as assigned.
Perform other reasonably related duties as assigned by immediate supervisor and other management as required.