Job description

Company Summary Zoro.com is a leading eCommerce platform offering nearly 12 million tools, parts and supplies for our business customers. Launched in 2011, we brought a B2C-like experience to the B2B industry, and continue to be at the forefront of digital innovation at the intersection of technology and distribution. We have rapidly grown to over $1 billion in annual revenue and we’re just getting started! About the Role This is the senior technical role on a data product team, in a data organization that is becoming a software-engineering organization and deliberately reinventing how engineering work is performed with AI. You will set the technical direction for what the team builds: APIs, backend services, shared libraries, operational data stores, and data-processing systems; and you will build alongside the engineers doing it. This is an individual contributor role with no direct reports. Every data product team at Zoro runs on a three-way partnership: the product manager owns what gets built and in what order, the engineering manager owns the engineering practice and how engineers grow, and you own how it gets built, including the architecture, the interfaces, the sequencing of the work, and the call on whether a design is ready. You will be measured by what the team ships, not solely by what you ship yourself. The best tech leads spend their time on the decisions that are expensive to reverse and leave the rest to the engineers who will learn from making them. The role sits at the seam between software engineering and data science and asks for real strength in both: you may not be building models yourself, but you need to be credible with the people who do, and able to reason about whether an offline metric will hold up online, what a latency budget means for an inference path, and when a model is the right tool and when a rule would do. We expect Tech Leads to use AI in their own engineering and to shape how their teams use it. What You Will Do Own the technical direction and architecture of your team's systems, break large problems into work the team can execute, and make the calls that are expensive to reverse. Stay in the code every week, and use AI throughout design, planning, implementation, testing, and review. Partner with your product manager on feasibility, sequencing, and tradeoffs, early enough to change the plan. Partner with the Data Scientists and ML Engineers on your team, from problem framing through production serving, monitoring, and retraining. Design interfaces, service boundaries, schemas, and data contracts that other teams can rely on, and negotiate them with those teams. Lead design reviews and RFC discussions, and own the call on when a design is ready and on cross-cutting technical tradeoffs. Grow the engineers around you through how you review, and partner with your engineering manager on where each one needs stretch or support. Own your team's operational health: on-call quality, observability, and the systems you have in production. An Excellent Candidate Has Experience as the Tech Lead on a team building production backend services, APIs, internal platforms, or distributed applications. Experience designing APIs, data contracts, and operational databases that other teams consumed. Familiarity with asynchronous processing, queues, event-driven systems, and change-data capture, including idempotency, retries, concurrency, and backward compatibility. Working knowledge of machine learning and data science concepts: feature engineering, evaluation, training and serving skew, drift, and retraining; enough to review a model design and ask the questions that matter, and experience taking a model from notebook to production. Experience making a team faster, through interfaces, tooling, or decomposition of work. Comfort leading engineers who do not report to them, and partnering with a product manager whose priorities they do not set. Familiarity with cloud infrastructure, containers, CI/CD, infrastructure as code, and observability. Practical opinions about where AI tools are useful, where they are unreliable, and how to improve their output. How We Work We value engineers who take ownership, prefer simple systems, treat operations as part of engineering, ask questions when designs are unclear, give thoughtful feedback, and balance speed with reliability. We expect Tech Leads to make the call when a decision is theirs, to say clearly when it is not, and to disagree well with product and engineering management when the technical reality warrants it. We also expect engineers to use AI aggressively but not uncritically, and to share what they learn so the whole team improves. Qualifications Education: Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or a related field, or equivalent practical experience. Experience: Minimum 7 years building production software, including at least 2 years as the Tech Lead for a team or a significant system. Experience building, shipping, and operating production software, with strong programming skills beyond SQL. Hands on keyboard every week, designing, building, and reviewing, not only directing. Experience leading the design of a system that multiple engineers built on, and owning it through deployment, incident response, and on-call. Strong grounding in both software engineering and machine learning or data science, and the ability to lead a technical discussion in either. A record of raising the team's output, delegating the decisions engineers will learn from, keeping the ones that are expensive to reverse, and deciding plainly when a design is ready. Influence without authority, earning alignment across teams, negotiating interfaces rather than escalating, and explaining a technical decision clearly to engineers, product managers, and leaders. Total Rewards Zoro’s total compensation plan includes our Zoro Incentive Plan (ZIP) that is designed to foster and reward our team members for strong performance. Total compensation will be highly competitive. In addition to competitive compensation, Zoro offers comprehensive benefits and perks including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. We also support growing your family through access to adoption assistance program 6 free sessions each year with a licensed therapist and Wellhub portal membership to support your mental and emotional wellbeing At least 18 paid time off days annually for full-time employees and 6 company holidays per year 6% company contribution to a 401K Retirement Savings Plan each pay period, no employee contribution required Tuition reimbursement, student loan refinancing and access to financial counseling, education, and tools Charitable Gift Program - match gift to an eligible educational, cultural, community health, and human service organizations Employee discounts and admission to various civic and cultural institutions around Chicago Zoro office perks including coffee bar, beer on tap, unlimited snacks, access to the onsite gym, and incredible city skyline views For additional information and details regarding our benefits and our parent company, W. W. Grainger, please click on the link here . The pay range provided is not a guarantee of compensation. The range listed reflects the expected base pay for this position at the time of posting, based on the role's job grade. Actual compensation may vary depending on factors such as location, relevant experience and individual qualifications. Illinois $115,600 — $192,600 USD Our Culture Zoro was founded in 2011 with a simple idea: make it easy for businesses to get the tools, parts, and supplies they need to keep things running. We've grown by staying curious, moving quickly, and solving everyday challenges in smart, practical ways. Backed by W.W. Grainger and inspired by our endless assortment business model, we’re on a clear path toward our next big milestone: $2 billion in revenue—and beyond. At Zoro, we don’t just follow a playbook—we help build it. You’ll get to work on real problems with a supportive team that shares ideas freely, learns from each other, and celebrates wins together. Our culture is grounded in values that guide how we show up every day: Winning & Learning Together , Being Customer Obsessed , Being Transparent , and Taking Ownership . We don’t have all the answers, but we’re always asking good questions. Zoro’s culture has been recognized by Fortune, Best Places to Work, and Built In Chicago—but the recognition we care about most comes from our team members, who make this place what it is. We also know that flexibility matters. Our hybrid work model gives you space to focus and the flexibility to live your life — asking team members to be onsite at least two days a week. Our Chicago HQ (right above Ogilvie Transportation Center in the Accenture Tower) is always open and ready for connection, collaboration, or just a good cup of coffee. At Zoro, we’re growing fast toward big aspirations — and we’re continuously excited about the new challenges we get to solve together. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status, or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are also committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment. Should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview, or hiring process, please advise us so that we can provide appropriate assistance.

Requirements

Must-haves

Company Summary
Own the technical direction and architecture of your team's systems, break large problems into work the team can execute, and make the calls that are expensive to reverse.
Stay in the code every week, and use AI throughout design, planning, implementation, testing, and review.
Partner with your product manager on feasibility, sequencing, and tradeoffs, early enough to change the plan.
Partner with the Data Scientists and ML Engineers on your team, from problem framing through production serving, monitoring, and retraining.
Design interfaces, service boundaries, schemas, and data contracts that other teams can rely on, and negotiate them with those teams.
Lead design reviews and RFC discussions, and own the call on when a design is ready and on cross-cutting technical tradeoffs.
Grow the engineers around you through how you review, and partner with your engineering manager on where each one needs stretch or support.
Own your team's operational health: on-call quality, observability, and the systems you have in production.
An Excellent Candidate Has
Experience as the Tech Lead on a team building production backend services, APIs, internal platforms, or distributed applications.
Experience designing APIs, data contracts, and operational databases that other teams consumed.
Familiarity with asynchronous processing, queues, event-driven systems, and change-data capture, including idempotency, retries, concurrency, and backward compatibility.
Experience making a team faster, through interfaces, tooling, or decomposition of work.
Comfort leading engineers who do not report to them, and partnering with a product manager whose priorities they do not set.
Familiarity with cloud infrastructure, containers, CI/CD, infrastructure as code, and observability.
Practical opinions about where AI tools are useful, where they are unreliable, and how to improve their output.
We value engineers who take ownership, prefer simple systems, treat operations as part of engineering, ask questions when designs are unclear, give thoughtful feedback, and balance speed with reliability.
We expect Tech Leads to make the call when a decision is theirs, to say clearly when it is not, and to disagree well with product and engineering management when the technical reality warrants it.
We also expect engineers to use AI aggressively but not uncritically, and to share what they learn so the whole team improves.
Education: Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or a related field, or equivalent practical experience.
Experience: Minimum 7 years building production software, including at least 2 years as the Tech Lead for a team or a significant system.
Experience building, shipping, and operating production software, with strong programming skills beyond SQL.
Hands on keyboard every week, designing, building, and reviewing, not only directing.

Nice-to-haves

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Keywords to mirror

airestmlmachine learningci/cdsql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off