Sales Enablement Lead

Reducto helps AI teams ingest real world enterprise data with state of the art accuracy.

The vast majority of enterprise data — from financial statements to health records — is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale.

We’ve grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm).

We've raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are looking for a Sales Enablement Lead.

As the Sales Enablement Lead, you'll build the foundation of Reducto's revenue engine from the ground up. You'll work directly with our founders and sales leadership to transform a lean, high-performing team of account executives into a repeatable, scalable go-to-market motion. This is a high-impact role where you'll shape how we sell, coach, and scale—establishing the systems and culture that will define our sales organization as we grow from 27 to 100+ employees.

• Hold yourself to a high bar for quality and precision.

• Enjoy solving complex problems and building from first principles.

• Have 4+ years of experience in B2B SaaS sales and/or sales enablement, ideally building programs from scratch in early-stage or high-growth environments.

• Operate well in fast-changing, high-growth environments.

• Collaborate effectively across technical and non-technical teams—you can coach an AE on selling to a senior ML engineer as easily as you can align with founders on GTM strategy.

• Take full ownership from strategy through execution.

• Build foundational sales training and methodology. Design and deliver hands-on training that sharpens discovery, technical storytelling, and value articulation for selling to AI/ML teams and enterprise buyers. Implement a scalable sales framework (MEDDPICC, Value Selling, or similar) that becomes core to how we operate.

• Enable direct, high-impact coaching. Work shoulder-to-shoulder with AEs on live deals—providing real-time coaching on pipeline generation, qualification, objection handling, and close strategies. Lead deal reviews that improve forecast accuracy and win rates.

• Create sales collateral and playbooks that scale. Develop battle cards, pitch decks, discovery frameworks, objection handling guides, and competitive positioning that enable AEs to run effective calls and close technical buyers.

• Establish metrics and reporting infrastructure. Define what good looks like—track ramp time, quota attainment, win rates, and sales velocity. Use data to continuously refine training, coaching, and sales process.

• Have experience at an early-stage or high-growth startup, especially in technical or developer-focused products.

• Are familiar with selling to AI/ML teams, data engineers, or technical infrastructure buyers.

• Have worked in environments where you sold complex, API-first, or platform products into both startups and enterprises.

• Care deeply about combining technical excellence with business impact—you understand the product deeply enough to coach on technical differentiation.

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.

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’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 PDFs

OCR 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 layouts

• Automatically convert graphs to tabular data and summarize images in documents

• Extract important fields from complex forms with simple, natural language instructions

• Build powerful retrieval pipelines using Reducto’s document metadata

• Intelligently chunk information using the document’s layout data

At 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 office

• Reimbursed Transportation: Provide us with your receipts and we’ll take care of the costs

• Insurance: 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 family

Reducto 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.