Hoshang Mehta

Co-Founder

San Francisco, California, United States9 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Co-founded two successful startups in AI and analytics.
  • Expert in revenue operations and data architecture.
  • Led cross-functional teams to drive operational efficiency.
Stackforce AI infers this person is a SaaS expert with a strong focus on revenue operations and AI-driven data solutions.

Contact

Skills

Core Skills

Product ManagementGo-to-market StrategyData ArchitectureAnalyticsRevenue OperationsRobotic Process AutomationAiSales OperationsData AnalyticsBusiness IntelligenceBusiness AnalysisFinancial PlanningProduct Development

Other Skills

Enterprise SoftwareStart-up LeadershipFundraisinggo to marketTeam BuildingMarketing StrategySalesSoftware Architectural DesignCustomer SuccessBusiness OperationsB2B SaaSExtract, Transform, Load (ETL)Marketing OperationsEarly-Stage StartupsRobotic Process Automation (RPA)

About

I’ve spent the last decade working at the intersection of data, operations, AI and product in B2B SaaS. I started my career building revenue operations and data systems inside startups, helping companies connect their sales, marketing, and product data to understand how revenue actually moves through the business. Over time this led me deeper into data infrastructure, analytics, and operational tooling. I later co-founded Airbook, an analytics workspace that helped revenue teams pull data from multiple systems, query it, generate insights and act on them from one place. We raised capital, assembled a strong team and made revenue along the 0 to 1 journey. I owned product and GTM. Through working closely with data leaders and operators, we saw a new shift happening: companies were rapidly adopting AI agents, but had no clear way to manage the risks of agents breaching sensitive internal data. That insight led to Pylar, where we built a sandbox layer that sits between enterprise data and AI agents. The goal was simple: allow agents to use company data while keeping raw systems protected and governed. Across these experiences I’ve worked on RevOps systems, data architectures, analytics platforms, and AI data infrastructure. I enjoy working on messy operational problems, connecting systems together, and turning complex data environments into something teams can actually use.

Experience

Pylar

Co-Founder & CEO

Oct 2025Present · 5 mos · San Francisco Bay Area

  • Co-founded Pylar to address the growing risk of AI agents accessing sensitive enterprise data without the right controls: enterprise data lives across many databases, while agents run across many frameworks such as Cursor, Claude, n8n and more. As organizations adopt agents across their workflows, there is a growing need for a central layer that controls how those agents interact with sensitive internal data.
  • Led the vision and development of Pylar as a sandbox environment that sits in the data-to-agent path, allowing teams to connect multiple data sources and expose curated, governed views to agents. The goal is to ensure agents can query useful data while remaining isolated from raw databases and production systems.
  • Focused on building a multi-database, multi-framework architecture from day one so teams can deploy governed data tools to any agent environment. Pylar provides a central place to define policies, guardrails, and access controls that apply consistently across all agents interacting with company data.
Enterprise SoftwareStart-up LeadershipProduct ManagementGo-to-Market Strategy

Airbook

Co-Founder & CEO

Dec 2022Present · 3 yrs 3 mos · United States · On-site

  • Co-founded Airbook as an AI powered data workspace to help cross-functional teams get a single view of insights from more than 200 sources, identify opportunities to drive revenue and be able to act on it from one place.
  • We raised capital, assembled a strong team and made revenue along the 0 to 1 journey.
  • Airbook was designed as a collaborative analytics workspace that connects directly to CRMs, product analytics tools, databases, and marketing platforms. Teams could query data, combine datasets, generate operational insights and trigger workflows to run growth experiments on the insights gathered.
  • Through building and selling Airbook, we worked closely with data leaders, RevOps teams, and CTOs evaluating modern data tools. This gave us firsthand exposure to how companies think about data infrastructure, governance, and analytics workflows.
  • As AI agents started appearing across analytics and operations workflows, many of these teams raised a new challenge: while building agents was becoming easier, managing how those agents interact with enterprise data was becoming difficult. Companies were relying on manual reviews, database-level RBAC, and one-off integrations to control agent access to production data.
  • These conversations and pilots highlighted a broader infrastructure gap around governing agent access to enterprise data. The insights and relationships developed through Airbook ultimately led us to focus on solving this problem at the infrastructure layer, which became the foundation for Pylar.
Fundraisinggo to marketTeam BuildingStart-up LeadershipMarketing StrategySales+4

Therevopsguy

Founder

Nov 2020Nov 2022 · 2 yrs

  • Started TheRevOpsGuy.com as a resource for operators and founders looking to align Sales, Marketing, and Customer Success under a Revenue Operations framework. The goal was to help growing technology companies turn fragmented data and processes into a coordinated revenue engine.
  • Advised early-stage B2B SaaS startup teams implement CRM and analytics systems, structure their revenue data models, and connect data across product, marketing, and sales tools. Focused on building clear pipelines, reporting frameworks, and operational workflows to improve visibility into pipeline, conversion, and customer retention.
  • While I was doing this, I started to solve for these problems by building a product in this space which after multiple iterations evolved into Airbook.
revenue operationsBusiness OperationsB2B SaaSAnalyticsBusiness IntelligenceData Architecture+5

Revinate

2 roles

Revenue Operations Manager - GTM

May 2020Sep 2020 · 4 mos

Customer Success Operations

Oct 2019May 2020 · 7 mos

  • Revinate builds software that helps hotels use guest data to drive direct revenue and improve guest engagement. Initially joined the company in Customer Success Operations, working closely with the VP of Sales to improve operational visibility and processes across the post-sales organization.
  • During the COVID period, when the hospitality industry faced major disruption, was promoted to lead a cross-functional task force reporting directly to the CEO. Focused on solving high-priority operational challenges, improving reporting visibility, and helping leadership make faster decisions during a volatile period.
  • Partnered with commercial leadership to provide territory analysis, pipeline insights, forecasting, and sales performance reporting to track progress against revenue goals. Built reporting frameworks and dashboards that gave leadership a clear view of pipeline health and sales activity.
  • Analyzed the full funnel from lead generation to closed deals to identify optimization opportunities across marketing and sales operations. Used these insights to refine territory targeting strategies and provide actionable recommendations to sellers.
  • Owned the structure and quality of sales data across internal systems, establishing processes for data hygiene, reporting consistency, and scalable data architecture. Also designed and implemented cross-functional handoff processes between marketing, sales, and customer success to improve operational efficiency.
  • Led evaluation and implementation of commercial technology platforms across the quote-to-cash process, including data providers, sales enablement tools, BI platforms, and contract management systems. Managed and optimized these systems to improve productivity for sales and customer success teams.
Business IntelligenceCustomer Relationship Management (CRM)Analyticsrevenue operationsCross-functional Team LeadershipData Architecture+12

Robor

Co-Founder

Jan 2020Jan 2021 · 1 yr

  • Co-founded Robor (https://robor.ai/) to explore how natural language could be used to automate business processes. The product combined NLP with robotic process automation to allow users to trigger actions and workflows through conversational interfaces.
  • Led the technical architecture, building a system that could understand natural language inputs and map them to specific operational tasks across business systems. The goal was to simplify how teams interacted with internal tools and automate repetitive processes through chat-based commands.
  • This work happened several years before the current wave of AI infrastructure and large language models. While the concept was promising, the technology at the time made it difficult to scale reliably, and the product was ultimately ahead of its time.
Robotic Process Automation (RPA)Artificial Intelligence (AI)Chatbot DevelopmentBusiness Process Re-engineeringConversational User Interfaces (CUI)Start-up Leadership+3

Customergauge

Revenue Operations Analyst

Jun 2018Oct 2019 · 1 yr 4 mos · Greater Boston Area

  • CustomerGauge provides a SaaS platform that helps companies improve customer experience and retention using the Net Promoter System®. Joined as the first operations and data hire to build the revenue operations and analytics foundation for the go-to-market teams.
  • Worked across Sales, Marketing, Customer Success, and Finance to establish reporting, systems, and processes from the ground up. Built the core analytics framework that aligned teams around funnel metrics from lead generation through customer retention, surfacing insights to leadership on pipeline health and revenue performance.
  • Developed predictive revenue forecasting models and attribution frameworks to understand how marketing and sales touchpoints influenced the buyer journey. This helped leadership better track revenue targets and improve GTM decision-making.
  • Owned the design and implementation of the sales and marketing tech stack, including systems such as Salesforce, LeanData, Outreach, DiscoverOrg, Zapier, and PandaDoc. Focused on automation, data governance, enrichment, and scalable processes. Also served as a Certified Salesforce Administrator (ADM 201).
  • Led operational initiatives to improve GTM efficiency, including a company-wide transition to Account-Based Marketing (ABM). Built workflows for ICP definition, account scoring, routing, engagement tracking, attribution, and KPI measurement.
  • Re-engineered the sales process as part of a broader operational transformation, reducing the time to close opportunities by 60%.
Salesforce.comleandataZapierPandaDocHubSpotMarketing Attribution+10

Index analytics llc

Business Analyst Intern

Sep 2017May 2018 · 8 mos · Baltimore, Maryland Area

  • Completed a co-op internship at Index Analytics during the final year of my graduate studies in Engineering Management. Worked with a team focused on building enterprise BI solutions for healthcare organizations.
  • Analyzed large healthcare datasets from multiple sources and helped translate complex data into clear insights using data visualization and reporting tools. Built interactive dashboards and visualizations to support analysis and decision-making for client projects.
  • Participated in requirements gathering through JAD sessions and technical workshops, working with analysts and stakeholders to understand business needs and translate them into data models and reporting solutions.
Qlik SenseBusiness IntelligenceData AnalyticsSQLData VisualizationRequirements Gathering

Sony electronics

Business Analyst Intern

Jun 2017Aug 2017 · 2 mos · Sydney, Australia

  • Selected for Sony’s International Summer Internship program while completing my graduate studies. Worked with the finance team in Sydney (Australia) on projects focused on digital transformation and business process improvement.
  • Partnered with Sales, Marketing, Finance, and IT teams to help transition a manual, Excel-based system into an automated web-based platform for managing Advertising & Promotional (A&P) accruals and spending. The project improved visibility and control over marketing spend across the organization.
  • Also supported Category Controllers and Product Managers across business units including Television (TV), Digital Imaging (DI), and Video & Sound (V&S). Contributed to pricing analysis, sales forecasting, and profitability studies as part of the quarterly business planning process.
TableauBusiness IntelligenceAnalyticsFinancial PlanningMicrosoft ExcelSQL+2

Esurgi

Product Management Intern

Mar 2017May 2017 · 2 mos · Baltimore, Maryland Area

  • Interned at eSurgi, an early-stage medical device startup, during my graduate studies. Worked closely with the Founder & CEO to help move a non-invasive medical device from prototype to pilot stage.
  • Collaborated with engineering and design interns to shape the early product roadmap and define the steps required for product development and market introduction. The experience provided hands-on exposure to how early-stage products evolve from concept to initial validation.
  • Also contributed to developing the company’s first business model, focusing on defining the ideal customer profile and exploring revenue opportunities across both B2B and B2C channels. Conducted financial analysis and early sales forecasts to support planning for the product’s market launch.
Product ManagementProduct Lifecycle ManagementProduct MarketingProduct DevelopmentAnalytical SkillsProduct Incubation+1

Fibro chem industries

Product Manager

Jan 2015Jul 2016 · 1 yr 6 mos · Mumbai Area, India

  • Joined Fibro Chem Industries after completing my undergraduate degree in Chemical Engineering. Worked with the Product Development and Engineering teams on new product development (NPD) initiatives in a growing manufacturing company.
  • Managed the transition of new products from concept to pilot-scale manufacturing and eventual market introduction. Worked closely with engineering teams to translate product requirements into production processes and ensure smooth execution across development stages.
  • Acted as a technical point of contact for customers, providing post-sales support and helping troubleshoot product-related issues. The role required working across multiple functions including Sales, Customer Success, Product, and Engineering to coordinate product development and delivery.

Education

University of Maryland Baltimore County

Masters

Jan 2016Jan 2018

University of Mumbai

Bachelor of Engineering (BEng) — Chemical Engineering

Jan 2011Jan 2015

Hiranandani Foundation School

Indian Certificate of Secondary Education (ICSE) — Science

Jan 2009Present

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