V

Vinit Patel

Founder

San Francisco, California, United States8 yrs 4 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led engineering teams at high-growth startups and large enterprises.
  • Drove AI adoption strategies improving efficiency and productivity.
  • Established operational excellence and engineering culture from scratch.
Stackforce AI infers this person is a Fintech and SaaS leader with extensive experience in engineering management and AI product development.

Contact

Skills

Core Skills

Engineering ManagementProduct ManagementArtificial Intelligence (ai)Organizational LeadershipSoftware Engineering

Other Skills

People ManagementDirector levelProblem SolvingInformation TechnologyResiliencyReact.jsPerformance TuningSystem PerformanceAgile MethodologiesApplication Programming Interfaces (API)API DevelopmentMulti-Family PropertiesProduct DevelopmentMicrosoft AzureScrum

About

I build and scale engineering organizations that ship products customers want and I tie every engineering investment to business outcomes. Over the past decade, I've led engineering orgs of 40+ people, managed managers and tech leads across multiple teams, and operated as a peer to CPO/CTO on the leadership team. I've owned product roadmaps, stood up PMOs, managed product managers and TPMs, and driven platform modernizations at companies ranging from high-growth Series B–C startups to a $100B+ financial institution. My focus: organizational design, engineering vision and quarterly planning, product-engineering alignment, operational excellence (CI/CD, observability, on-call, SRE), and building high-velocity engineering cultures that are data-driven and customer-obsessed. I've managed multi-million dollar infrastructure budgets (AWS, Azure, Datadog), led global hiring across the US, Canada, and Latin America, and driven AI adoption strategies using OpenAI, Cursor, LLMs, and automation tooling. I build the machine — the leaders, the processes, the culture, and the systems — that lets engineers do their best work and lets the company ship faster. Open to AI startup (building with Agents) roles San Francisco Bay Area. vinit9patel@gmail.com

Experience

8 yrs 4 mos
Total Experience
1 yr 8 mos
Average Tenure
2 mos
Current Experience

Flowtel (yc w25)

Founding Product

Apr 2026Present · 2 mos · San Francisco Bay Area

  • Product × Engineering × GTM.
  • Building AI agents for hotels.

Greystone

Director of Engineering

Aug 2024Sep 2025 · 1 yr 1 mo · New York City Metropolitan Area · On-site

  • Senior engineering executive leading all software engineering at a $100B+ commercial real estate finance and investment firm. Reported to the CTO. Expanded from leading a 6-person R&D innovation team (Greystone Labs) to overseeing the full 40-person engineering organization within 3 months.
  • Operated as de facto VP of Engineering and Product Leader — defining product roadmaps, leading cross-functional prioritization, and driving delivery cadence across the company in the absence of a formal product organization. Managed engineering managers, tech leads, and senior engineers across servicing, underwriting, CRM, AI internal tools, and R&D.
  • Led engineering across all product lines powering a $100B+ lending portfolio — servicing, underwriting, CRM, AI internal tools, and R&D innovation.
  • Took on product management and technical program management leadership across the org — aligning engineering, product, and business stakeholders on roadmap and execution.
  • Drove AI adoption strategy: integrated OpenAI, LLMs, and automation tooling into financial data workflows, improving underwriting efficiency and developer productivity.
  • Built engineering culture and operational excellence from scratch: career ladders, on-call processes, observability (Datadog), CI/CD (GitHub Actions), SRE best practices, architecture reviews, quarterly planning, and demo-driven development.
  • Owned vendor contracts and infrastructure budget (Azure, Datadog, tooling spend), partnering directly with procurement on cost optimization.
  • Led headcount planning and hiring strategy across the engineering org.
  • Note: Director title at Greystone follows the investment banking leveling system, equivalent to VP of Engineering in standard technology company leveling.
People ManagementDirector levelProblem SolvingInformation TechnologyResiliencyReact.js+13

Observea

Product Management Leader, Core Engineering & AI

Dec 2023Nov 2024 · 11 mos · San Francisco Bay Area · On-site

  • Strategic product and engineering advisor to an AI research startup building next-generation business observability solutions.
  • Defined product roadmap and go-to-market strategy for AI-powered high-performance compute products.
  • Supported the founder in building the first team of product managers and engineers across San Francisco, NYC, and India.
  • Advised on technical architecture, organizational design, team structure, and product-market fit.
Engineering ManagementProblem SolvingResiliencyPerformance TuningArtificial Intelligence (AI)Social Media+7

Trueml

2 roles

Director of Engineering, Core Product

Promoted

Sep 2022Jan 2024 · 1 yr 4 mos · Remote

  • Led three product engineering teams (20+ people) at a Series B–C AI-first fintech startup — owning the company's primary revenue engine: customer communication infrastructure, web experience, and AI-powered agent interactions. Reported to the CTO / Founder. Recognized as the functional head of product engineering and member of the product council.
  • Owned the product and engineering roadmap end-to-end — partnering with CPO, CTO, and C-suite to balance revenue-generating initiatives with long-term platform investments.
  • Created and championed the company's first AI team — negotiated executive buy-in and launched Voice AI, Email AI, and Chatbot products that scaled agent efficiency without incremental hiring.
  • Drove platform modernization: migrated legacy monolith to modern serverless architecture, transitioned frontend to React, replaced legacy CMS — improving developer velocity and system reliability.
  • Scaled messaging infrastructure from 250K to 50M+ daily messages via modular serverless design — directly enabling business growth.
  • Established engineering operational excellence: CI/CD pipelines, E2E testing, on-call processes, SLAs/SLOs/SLIs, architecture review board, demo days, and chaos training.
  • Managed vendor relationships and infrastructure budgets (AWS, Datadog). Led global hiring across US, Canada, and Latin America in partnership with recruiting leadership.
  • Planned and led Director/VP-level offsite strategy sessions, developing mid-range and long-term roadmaps with executive stakeholders.
  • Achieved high promotion rate within the org — including founding a new team led by a newly promoted engineering manager.
Engineering ManagementProblem SolvingResiliencyPerformance TuningOpen-Source SoftwareSystem Performance+3

Engineering Manager, Recover Consumer Experience

Jul 2021Oct 2022 · 1 yr 3 mos · Remote

  • Led a product engineering team at a Series B fintech startup building AI-powered debt recovery software.
  • Optimized team structure and hiring pipeline aligned with Series B through Series C growth. Contributed to product roadmap and cross-functional planning.
  • Introduced agile methodology, demo-driven culture, and reliability standards — improving project completion rates by 35% and developer satisfaction.
  • Built on-call processes, onboarding documentation, and SRE foundations — reducing on-call resolution times by 35% and accelerating new hire ramp by 50%.
Engineering ManagementProblem SolvingResiliencyPerformance TuningSystem PerformanceScrum

New relic, inc.

3 roles

Software Engineer Team Lead

Promoted

Sep 2020Jul 2021 · 10 mos

  • Led a cross-functional product squad — engineers, product manager, TPM, and designers — responsible for the New Relic Logs UI and customer experience.
  • Led the relaunch of Logs 2.0 ("Log Management"), shipping 25+ features that grew customer engagement from 12% to 75% and revenue from $10M to $50M+ ARR.
  • Deeply embedded with customers: joined customer calls regularly, translated feedback into roadmap priorities, and worked directly with enterprise accounts to build solutions for their specific needs. Influenced product direction based on real customer signal, not assumptions.
  • Owned sprint execution, product roadmap collaboration with PM and Design, and daily shipping cadence. Ran biweekly stakeholder updates to keep leadership aligned on progress, risks, and priorities.
  • Scaled the Logs team from 3 founding engineers to 20+ globally through hands-on recruiting and hiring.
  • Founded "Reliability Hour" — biweekly chaos training sessions that reduced on-call MTTR by 25% and became a company-wide best practice.
  • Presented engineering work at Amazon Re:Invent and New Relic FutureStack to thousands of attendees.
  • Built a data-driven customer intelligence tool as a side project in partnership with the Head of RevOps — using Python, Salesforce, and internal data science pipelines to surface real-time customer insights for the global sales org. The tool was adopted org-wide by account executives and sales directors, and ultimately caught the attention of and was used by the CEO.
  • Founded "Young Relics" ERG for early-career engineers, growing from 0 to 30+ members in two quarters.
Engineering ManagementProblem SolvingResiliencySystem PerformanceScrum

Software Engineer

Oct 2019Sep 2020 · 11 mos

  • One of the first engineering hires on New Relic Logs — helped take the product from MVP to enterprise-grade platform serving hundreds of Fortune 500 and SMB customers. Built and operated systems handling petabytes of log data with high-throughput, real-time ingestion pipelines. Worked across the full stack: frontend, backend, infrastructure, SRE, and DevOps.
  • Frontend:
  • Built major product features and UI experiences using React, Redux, Sagas, TypeScript, HTML/CSS/Sass.
  • Developed the "logs-in-context" feature and Kubernetes log integration — both became core product differentiators.
  • Backend:
  • Designed and built multiple Kafka-based backend services in Java powering real-time ingestion of petabytes of customer log data at massive throughput.
  • Built AWS infrastructure (CloudWatch, Lambda, EC2, S3) and managed services on Kubernetes and Marathon/Mesos.
  • Led the effort to ingest customer log data from AWS — built the open-source AWS Lambda log forwarder that was adopted org-wide and published to New Relic's public docs.
  • SRE & DevOps:
  • Set up the product's entire initial monitoring, alerting, and observability stack — instrumenting services and integrating with PagerDuty and Datadog to ensure reliability from day one.
  • Created dashboards for customer usage tracking, error monitoring, backend service health, and interaction analytics.
  • Led chaos engineering sessions and biweekly reliability meetings, building a culture of system resilience.
  • Worked directly with 20+ customers to incorporate feedback into the product — was the go-to engineering partner for key enterprise accounts including one of the world's largest online gaming companies.
  • Solely designed, built, and delivered a high-leverage internal tool that enabled the Sales organization to better engage with prospective customers — adopted widely across GTM teams.
Problem SolvingResiliencySystem PerformanceScrum

Software Engineer (Founding Engineer)

Oct 2018Oct 2019 · 1 yr

  • Founding engineer for New Relic Logs. There was no product, no codebase, no team. Started from zero lines of code. Truly 0→1.
  • Built the initial MVP end-to-end — writing ~90% of the early codebase across frontend and backend while driving product direction and ideation for what the product should be. Presented the MVP directly to the CEO and executive leadership, secured approval and investment to build the full product.
  • That product became New Relic Log Management — now a $50M+ ARR business serving hundreds of Fortune 500 customers.
Problem SolvingResiliencyScrum

Cisco

Software Engineer

May 2016Aug 2017 · 1 yr 3 mos · San Francisco Bay Area · On-site

  • Two consecutive summer internships spanning full-stack development, DevOps, and IoT infrastructure.
  • 2017 — Spark (Full-Stack Engineering):
  • Designed and built a full-stack web application with a REST API for engineering bug tracking using Python, Flask, Redis, and NGINX.
  • Built the frontend using HTML, CSS, Bootstrap, JavaScript, jQuery, and Jinja2.
  • Tested APIs using Postman and learned React.js, Node.js, and ORM patterns.
  • 2016 — IoT (DevOps & Infrastructure):
  • Built a metrics and monitoring dashboard using Grafana, aggregating data from Marathon, Consul, Mesos, AWS EC2, and CloudWatch.
  • Deployed the ELK stack (Elasticsearch, Logstash, Kibana) on Docker for IoT platform error log processing.
  • Automated cluster provisioning with Python, reducing engineer setup time by 25%.
  • Created infrastructure documentation and architecture diagrams used in Director-level meetings.
  • Selected as one of a handful of interns to represent Cisco at a corporate philanthropy event alongside Cisco executive leadership and leaders from other Fortune 500 companies.

Education

University of Arizona

Bachelor’s Degree — Computer Science

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