Onsemble Engineering Manager- Fully Remote

Hajoca Corporation is one of the country’s largest privately-held wholesale distributors of plumbing, heating & cooling, and industrial supplies. Founded in 1858, Hajoca is a company based on the principles of “Service, Integrity, Reliability,” and on relationships of trust and support with teammates, customers, and suppliers. Throughout its history, Hajoca has played an active role in shaping advances in plumbing. However, we attribute our success to two simple truths; a unique business philosophy and talented people. Hajoca is all about the people, who give us our advantage, and who will guide us successfully into the future.

Although Hajoca is a large company, we work in a decentralized environment where each of our locations, called Profit Centers (PCs), is run by the Profit Center Manager as if it were their own small business. A typical Profit Center is the heart of our business and consists of a warehouse, counter, sales office, and (sometimes) a showroom. Our PCs conduct business under unique trade names and offer a customized business approach, honoring what’s special about each local marketplace.

Onsemble is one of those trade names and is looking for a Onsemble Engineering Manager at their Bay Area, CA location. This position is fully remote.

Pay for Engineering Manager is between $160,000 and $170,000 per year at this location.


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:

• 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.


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