Solutions Engineering Manager

About the role

You will build and lead the Solutions Engineering team that sits at the front lines with our customers shaping how we win onboard and grow enterprise accounts. You will hire coach and develop a team of Solutions Engineers partnering closely with our GTM and core engineering teams on the most complex enterprise deployments. You will define the playbooks processes and technical strategy that scale this function as Reducto grows into a leading agentic document platform. You will stay hands-on with our most strategic customers while building the foundation of how this organization operates expands and delivers value at scale. You bring a high bar for quality and outcomes for yourself and the people you lead moving with urgency and creating a culture where people ship fast take ownership and jump in to fix problems.

Key facts

What you'll do

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.

Own the technical side of the customer journey from first call through expansion ensuring technical qualification forecasting and capacity planning align with revenue outcomes.

Build and improve 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.

Support enterprise and regulated customers by going deep on Python APIs infrastructure and modern cloud Kubernetes-based deployments knowing when to roll up your sleeves and when to unblock your team.

Cross functional partnership with Sales Product and Engineering leadership to close complex deals manage technical risk and drive long term customer expansion.

Requirements

You bring 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 or sales engineers or similar technical IC team including hiring coaching and performance management.

You are 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.

You have a high bar for quality and outcomes for yourself and the people you lead 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 experience working closely 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.

You have built or improved the systems that make a technical team run including forecasting capacity planning account coverage POC frameworks enablement and metrics that tie SE activity to revenue and customer outcomes.

You have operated in cross functional partnership roles coordinating technical discovery architecture reviews and deal strategy to drive enterprise wins and expansion.

You have significant experience supporting enterprise or regulated customers in industries such as financial services healthcare legal insurance or AI/ML-heavy product teams.

Practical notes

This 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 Reducto

Nearly 80% of enterprise data is in unstructured formats like PDFs.

PDFs 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 is 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 https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing.

Traditional approaches fail at reliably extracting information in complex PDFs

OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different PDFs is inconsistent and can be difficult to parse reliably leading to costly errors in downstream workflows. This is especially true for enterprise documents which can contain hundreds of pages tables and diagrams and handwritten elements. Reducto combines custom in house and leading frontier models to deliver reliable document understanding at scale. We've grown rapidly increasing revenue 8x year over year and partnering with hundreds of companies from leading AI teams like Harvey Vanta and Scale to enterprise customers across FAANG and top trading firms. Reducto has raised over $100M from world class investors including a16z Benchmark and First Round Capital.