---
title: 'Solutions Engineer at Pulse'
canonical: 'https://feeny.ai/job/solutions-engineer-pulse-san-francisco-xvbpw9y7sea0'
type: 'job'
last_seen: '2026-09-13'
---

# Solutions Engineer at Pulse

- **Company:** Pulse
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-12-15
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/pulse/fa097c20-c2eb-49c7-9e1b-842b33f8fc18

## Job description

## Overview

Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail. We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.

What makes [our tech special](https://www.runpulse.com/blog/pulse-approach-to-document-intelligence) is our multi-stage architecture:

- Layout understanding with specialized component detection models
- Low-latency OCR models for targeted extraction
- Advanced reading-order algorithms for complex structures
- Proprietary table structure recognition and parsing
- Fine-tuned vision-language models for charts, tables, and figures

If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.

## What we are looking for

- 5 days in-office at our San Francisco office
- Eager to learn and adapt quickly
- Prior startup or founding experience is a plus

## About the Role

As a Solutions Engineer at Pulse, you will partner with Account Executives and prospects to translate complex document-understanding challenges into technical solutions that win and retain business. You will lead solution discovery and design, run technical evaluations and proofs-of-concept, and architect deployments before handing off to implementation teams. This role sits at the intersection of pre-sales, solution architecture, and core engineering.

## Responsibilities

- Partner with sales to lead technical discovery, qualify opportunities, and map customer requirements to Pulse capabilities using value-based and solution-selling methodology
- Design end-to-end solutions that account for the customer's current systems, data flows, and existing infrastructure, identifying integration points and constraints early
- Create architecture diagrams and solution designs that support the buying decision and guide implementation
- Lead proofs-of-concept and technical evaluations, defining success criteria and tying outcomes to business value (accuracy gains, cost and time savings, risk reduction)
- Apply pre-sales consulting best practices to build trust with technical and business stakeholders, including objection handling and tailored technical demos
- Own a clean handoff to implementation and deployment teams with documented solution design, architecture, and success criteria
- Serve as the technical voice of the customer back to product and engineering, surfacing patterns across deals

## Requirements

- 3+ years in a customer-facing technical role such as solutions or sales engineering, pre-sales, solution architecture, or technical consulting, ideally selling technical or data infrastructure products
- Proven ability to lead technical discovery and map customer requirements to product capabilities using value-based and solution-selling methodology
- Comfort designing end-to-end solutions and creating architecture diagrams that account for a customer's existing systems, data flows, and infrastructure
- Experience running proofs-of-concept and technical evaluations, including defining success criteria and tying outcomes to measurable business value
- Strong working knowledge of APIs, integrations, and modern cloud and data infrastructure, enough to architect credible solutions and speak fluently with technical stakeholders
- Proficiency in Python or a similar language for prototyping, demos, and technical validation
- Excellent presentation and communication skills, with the ability to build trust with both technical and business buyers and to handle objections with confidence
- Bias toward ownership and a track record of partnering closely with Account Executives to move deals forward

## Nice to have

- Familiarity with document processing, OCR, NLP, computer vision, or ML platforms
- Experience selling into regulated industries such as finance, healthcare, insurance, or legal
- Working knowledge of Kubernetes, Docker, or cloud platforms (AWS, GCP, Azure)
- Background in data infrastructure or enterprise SaaS

Sponsorship Sponsorship available.

## Compensation and benefits

Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.

## About Pulse

## Company Overview
- **One-liner**: Pulse provides a production-grade platform for unstructured document extraction, using OCR, layout analysis, and vision models to accurately process complex documents at enterprise scale.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2024
- **Founders**: Sid Manchkanti (CEO), Ritwik Pandey (CTO)

## Core Business
- **Industry**: Enterprise document intelligence / AI-powered data extraction
- **Target Customers**: B2B – Fortune 10 enterprises, financial services, healthcare, insurance, legal, real estate, and AI-native startups
- **Mission**: Provide trust and scale in document processing for regulated environments through advanced OCR, layout understanding, and vision models.

## Products & Services
- **[Pulse Document Intelligence Platform]**: A unified API and on-premise solution that ingests PDFs, spreadsheets, presentations, images, and other unstructured documents. Features include layout-aware OCR, reading order algorithms, table/chart/figure extraction, handwriting recognition, and fine-tuned vision models for complex conversions. Deployable via Docker, Kubernetes, or internal API gateways in VPC/on-prem environments.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total Funding – USD $4.4M (Pre-seed $500K led by Y Combinator; Seed $3.9M led by Nat Friedman and Daniel Gross)
- **Notable Investors/Partners**: Y Combinator, Nat Friedman, Daniel Gross (Seed lead); processed over 1 billion pages for clients including Fortune 50 technology firms, top private equity, large insurance carriers, and AI startups.
- **Growth Signals**: Headcount grew 312.5% year-over-year (now ~12 employees); open-sourced PulseBench-Tab benchmark for table extraction; expanding hiring across engineering, sales, and research.

## Competitive Advantages
- **Security & Compliance Natively**: SOC 2 Type II, ISO 27001, GDPR, HIPAA, and BAA available – certifications verified by continuous audits, enabling use in strictly regulated industries.
- **Architectural Control**: Flexible deployment (private VPC, on-prem, hybrid cloud) with full data isolation, load balancing, and GPU acceleration for massive throughput.
- **Superior Document Understanding**: Proprietary pipeline that understands layout structure before OCR, reads multi-column/irregular layouts in human-like sequence, and handles tables, charts, and handwriting – outperforming traditional OCR tools.

## Strategic Focus
- **Scaling Enterprise Adoption**: Continue serving regulated verticals (healthcare, finance, insurance, legal) while expanding into new AI-driven workflows.
- **Product Development**: Advance vision models, table extraction benchmarks, and reading order intelligence to maintain accuracy edge.
- **Talent Acquisition**: Actively hiring for technical roles (ML Engineers, DevOps, Software Engineers, Inference, Forward Deployed) and GTM positions (Sales, Solutions Engineering), all in-person in San Francisco.

## Why Work Here
- **Culture & Environment**: Small, high-caliber technical team (12 people) with a focus on precision, reliability, and deep respect for complex enterprise workflows. In-office culture in San Francisco (on-site required).
- **Growth Opportunity**: Join a fast-growing startup (312% headcount growth YoY) backed by visionary investors; opportunity to shape the platform from the ground up in a high-trust environment.
- **Notable Perks**: Involvement with cutting-edge AI/OCR research, open-source contributions (PulseBench-Tab), and direct collaboration with founders and founding hires.

## Sources
1. [runpulse.com](https://www.runpulse.com/)
2. [LinkedIn – Pulse](https://www.linkedin.com/company/pulse-ai-corp)
3. [Built In – Pulse](https://builtin.com/company/pulse-runpulsecom)

## Other roles at Pulse

- [Product Marketing](https://feeny.ai/job/product-marketing-pulse-san-francisco-q54grdwvh99e) — San Francisco, CA
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- [Account Executive](https://feeny.ai/job/account-executive-pulse-san-francisco-ttp96zgtvq9e) — San Francisco, CA
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- [Software Engineer, Inference](https://feeny.ai/job/software-engineer-inference-pulse-san-francisco-gcqyhd80ej93) — San Francisco, CA
- [DevOps Engineer](https://feeny.ai/job/devops-engineer-pulse-san-francisco-azhdzq1g7tnw) — San Francisco, CA
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-pulse-san-francisco-1mpg8kzfxach) — San Francisco, CA
- [Software Engineer](https://feeny.ai/job/software-engineer-pulse-san-francisco-8pas6rkv70jm) — San Francisco, CA
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-pulse-san-francisco-hdrm1hwzsff9) — San Francisco, CA
- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-sona-new-york-pfaer8qp6jqh) — New York, NY