Solutions Engineering ManagerAs the founding Solutions Engineering Manager at Reducto, you'll build and lead the team that sits at the front lines with our customers—shaping how we win, onboard, and grow enterprise accounts. You'll hire, coach, and develop a team of Solutions Engineers, partner closely with our GTM and core engineering teams on the most complex enterprise deployments, and define the playbooks, processes, and technical strategy that scale this function as Reducto grows. This is a player-coach role: you'll stay hands-on with our most strategic customers while building the foundation of how this org will operate, expand, and deliver value at scale.We would love to meet you if:You bring a high bar for quality and outcomes—for yourself and the people you lead. You don't settle for 90%, you move with urgency, and you create a team culture where people ship fast, take ownership, and jump in to fix problems instead of just surfacing them.You have 8+ years of experience in solutions engineering, sales engineering, or a closely related technical customer-facing role—with significant time spent supporting enterprise or regulated customers.You have 2+ years of experience directly managing or leading a team of solutions/sales engineers (or similar technical IC team), including hiring, coaching, and performance management.You're technically credible.
You can go deep with engineers and customers on Python, APIs, infrastructure, and modern cloud/Kubernetes-based deployments—and you know when to roll up your sleeves vs. when to unblock your team.Cross-functional partnership: You've worked tightly with Sales, Product, and Engineering leadership—owning the technical side of the customer journey from first call through expansion, and feeding learnings back into the product roadmap.Operational rigor: You've built or improved the systems that make a technical team run—forecasting, capacity planning, account coverage, POC frameworks, enablement, and metrics that tie SE activity to revenue and customer outcomes.The core work will include:Build and lead the Solutions Engineering team—hiring, onboarding, coaching, and developing SEs into high-performing partners for our GTM org.Partner with Sales leadership across the full deal cycle—from discovery and technical qualification through demos, POCs, and architecture reviews—to drive enterprise wins and expansion.Stay hands-on as a player-coach—personally leading our most strategic enterprise engagements and complex technical discussions when it matters most.Define the SE playbook at Reducto: demo standards, POC methodology, technical discovery, account coverage models, and the operating cadence that ties the team to GTM goals.Be the bridge between customers and Product/Engineering—synthesizing field signal into a clear, prioritized feedback loop that shapes the roadmap.Work directly with the founders to shape GTM strategy, technical positioning, and how Solutions Engineering scales as we grow the company.Bonus points if you:Have built a Solutions/Sales Engineering function from the ground up at an early-stage or high-growth startupHave experience selling to or supporting technical buyers in regulated industries (financial services, healthcare, legal, insurance) or AI/ML-heavy teamsKeep up with the latest developments in ML/AI and have an opinion on where the document/agentic AI space is goingThis is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.About ReductoNearly 80% of enterprise data is in unstructured formats like PDFsPDFs are the status quo for enterprise knowledge in nearly every industry.
Insurance claims, financial statements, invoices, and health records are all stored in a structure that's simply impractical for use in digital workflows. This isn't an inconvenience—it's a critical bottleneck that leads to dozens of wasted hours every week.Traditional approaches fail at reliably extracting information in complex PDFsOCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content.
This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:Accurately extract text and tables even with nonstandard layoutsAutomatically convert graphs to tabular data and summarize images in documentsExtract important fields from complex forms with simple, natural language instructionsBuild powerful retrieval pipelines using Reducto's document metadataIntelligently chunk information using the document's layout dataBenefits at ReductoAt Reducto, we're invested in the well-being and growth of our team. Here's what we currently offer:Unlimited PTO: We believe great work requires recharging.Lunch: Receive a free lunch to eat with your teammates daily at the officeReimbursed Transportation: Provide us with your receipts and we'll take care of the costsInsurance: Generous health insurance covering medical, dental, and vision.Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.Parental Leave: Work with us to build a leave schedule that works for you and your familyReducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.