Senior Software Engineer I, Integrations and Internal Systems

Grove Collaborative is a sustainability-focused consumer products company creating household and personal care essentials that are effective, beautifully designed, and healthier for people and the planet. We are a certified B Corp, plastic-neutral, and on a mission to transform the CPG industry for good.

About the Opportunity

This isn't a role for someone waiting to be told what to build. We want a true self-starter: endlessly curious, genuinely ambitious, and humble enough to be trusted with real influence.

This person will own our internal systems integrations and the delivery of our MCP layer. You'll keep the lights on while identifying incremental improvements, and build the layer that enables the business to become builders and lets agents do real work safely. You'll spend time in both worlds, often in the same week, sometimes in the same day.

You're an enabler with a high level of ownership, ready to flex whatever muscle the day calls for. An integration breaks — you fix it. The business needs new functionality — you build it. Our MCP layer needs a new connection — you stand it up.

You think beyond the fix. We don't just want someone who keeps integrations running — we want someone who's constantly looking for the opportunity to simplify and consolidate them. You know the difference between patching something and rebuilding it onto better infrastructure, and you have a bias toward leaving every system you touch better than you found it, not just functional.

AI isn't an add-on here — it's how the work gets done. This is an AI-enabled role in an AI-enabled organization. You'll use AI tooling to write code, maintain the environment, and move faster across a wider surface area than one engineer could otherwise cover. It's not a tool you reach for occasionally; it's part of your everyday process.

We're just getting started building the infrastructure that lets everyone in the business become a builder. There's no finished playbook. Our MCP layer doesn't have an established pattern for security, access control, or agent tooling yet — you'll help write it, in partnership with the people who own the roadmap.

What You’ll Own

• Back-office integrations — Maintain and enhance the integrations connecting NetSuite, HighJump, our data warehouse, and adjacent systems. Rebuild individual flows onto better infrastructure when it makes sense to, and know the difference between a fix and a rebuild. Go beyond maintenance to actively look for ways to simplify and consolidate our integration landscape — fewer moving parts, less duplicated logic, systems that are easier for the next person to reason about.
• Grove Brain / internal MCP layer — Build Grove Brain out from its current early stage into a durable platform other teams build on. Design and implement the connectors and tools that let agents act on real Grove systems.
• Security, access, and governance for agents — Help define and build how agents authenticate, what they're allowed to touch, and how that's audited, in partnership with the teams who own security and infrastructure rather than setting policy solo.
• Hands-on enablement — Be the person a team calls when they're stuck mid-build on an integration or an agent problem, whether that's a connector, a permissions question, or a "we don't know what's possible yet" question.
• Judgment calls — Decide when a systems problem is yours to solve and when it's actually a process problem that belongs to the business.
• AI-assisted development — Use AI tooling aggressively as a force multiplier, and hold the line on quality while you do it. You should be moving noticeably faster than an engineer working without these tools, without your standards slipping. More on this below.
• Craft, performance, and quality — Own performance, stability and maintainability in the code you ship, at the scale Grove actually runs at.

About You

• 5+ years building and operating building and maintaining production system integrations — the kind that move data between platforms like NetSuite, HighJump, or similar ERP/WMS systems.
• Strong software engineering fundamentals: you can design a pipeline, debug it under pressure, and know the difference between a quick fix and a real one.
• Genuine hands-on experience with AI tools and, ideally, agent frameworks or MCP — not just familiarity, but a track record of building with them.
• Comfortable operating with a rough direction instead of a finished spec, and you make real progress anyway.
• A builder's mindset — you'd rather stand something up yourself than write a design doc for someone else to build.
• Enough security instinct to ask the right questions about what an agent should and shouldn't be able to touch, even when you're not the final decision-maker on policy.
• You're honest about what you don't know. You can say "I haven't worked with that" without flinching, and you don't paper over the gap with a confident guess.
• Background with Airflow, Airbyte, or similar data-pipeline infrastructure
• New technology doesn’t scare you. You’ve been dropped into an unfamiliar framework, language, or platform and gotten productive fast, and you can point to a time you did it. You evaluate new tools on the merits instead of defaulting to what you already know or chasing whatever is new.
• You’re honest about what you don’t know. You can say “I haven’t worked with that” without flinching, and you don’t paper over the gap with a confident guess.
• You’ve taken something vague, made it concrete, brought other people along, and shipped it.
• You work well with others. You give direct feedback kindly, you take it well, and people want you on their project.
• A real sense of ownership and pride in the experiences you ship and the code you leave behind.
• You write things down, and people understand them. You can a non-technical person through a technical tradeoff without hiding behind jargon.
• Genuine enthusiasm for Grove’s mission and sustainability values, not just the tech stack.

How We Work Together

• This is a high trust environment. You’ll get real scope and real decisions early, and nobody is going to look over your shoulder while you do the work. Trust runs both directions: we’ll be straight with you about the business, the tradeoffs, and the parts of the codebase we aren’t proud of, and we expect that same candor back.
• We value psychological safety first and foremost. It’s the precondition for everything else on this list. The teams that solve genuinely hard problems are the ones where people feel safe saying “I don’t understand this yet.”
• “I haven’t worked with that” is a complete answer here. We have deep respect for an engineer who names the edge of their own knowledge instead of bluffing past it. We don’t need you to know everything. We need you to be honest about where your expertise begins and ends — and that honesty is worth more to us than a confident guess, in an interview and on the job.

How We think About AI

We’re serious about this, so we’d rather be direct than let you find out later.

• AI tooling is part of how this team works every day, not an experiment on the side. We want someone who genuinely enjoys these tools and keeps getting better with them.
• Nobody here has AI figured out, and we’re skeptical of anyone who says they do. The tooling changes month to month. We are all working it out together, in the open. We’d rather hire someone actively learning than someone with a methodology to evangelize.
• We’re looking for someone whose judgment stays their own. You should be able to read what a model produced, disagree with it, and explain why — about architecture, about correctness, about whether the thing should be built at all.
• The version of this we don’t want: code that ships because a model was confident. If you can’t explain why your code looks the way it does, “the model wrote it” isn’t an answer.
• The version we do want: someone who moves twice as fast with these tools and whose standards didn’t move at all.
• This is where honesty about the edges of your knowledge matters most. AI makes it effortless to produce work you don’t actually understand. Flagging that is a strength here, not an admission.

Our interview process includes a take-home project and a working review session that covers system design, coding, product thinking, and how you use AI. We’d rather see how you actually work than quiz you on algorithms — there’s no LeetCode round.

Even Better if You Have

• Experience building or contributing to an MCP server or similar agent-tooling layer.
• Background with Airflow, Airbyte, or similar data-pipeline infrastructure, especially rebuilding integrations off a legacy iPaaS.
• Experience with NetSuite and/or HighJump integrations specifically.
• Experience setting up auth, access control, or auditing for AI agents operating on production systems.
• Experience at a fast-growing ecommerce company.

WHAT'S IN IT FOR YOU

• This full-time, exempt position is remote for candidates based in the following states: California, Maine, Pennsylvania, Nevada, North Carolina, Texas, Colorado, Washington, Illinois, New York, Missouri, and Massachusetts.
• Competitive benefits - medical, vision, dental 
• Equity - shared success is core to our mission 
• Flexible Paid Time Off - we care most about results
• Free VIP membership and 50% employee discount
• Working for a company that believes that a small group of people can change the world for the better by creating products and funding initiatives that help the planet!

COMPENSATION

The salary range for this role is $144,000-185,000. Our compensation bands are determined based on market-specific cost of living data, meaning that the top of our salary range is reserved for the most experienced candidates in the highest cost of living areas across the country. In addition to the base salary, this role is eligible for an annual incentive target and equity.