S

StackAI

Low-code platform to build AI workflows

Platform Engineer - APIs & Observability

Full-Time
$171k - $190k/yr
Mid
San Francisco, CA, USA+1 moreMore locations: New York, NY, USA
Hybrid
Software EngineeringBackend Engineering

About the job

Requirements
  • At least 4 years of experience building backend services and public APIs in production.
  • Strong API design skills, including RESTful design, SDK ergonomics, and rate limiting.
  • Fluency with OpenAPI and experience defining API standards and governance, including versioning, deprecation, and consistency across services.
  • Fluency with observability and analytics, including distributed tracing, metrics, and transforming raw signals into data products.
  • Strong Python skills and experience with modern backend frameworks such as FastAPI or similar.
  • Comfort working with TypeScript and Node.js on product surfaces.
Responsibilities
  • Design, version, and evolve the public API and SDKs that customers build on, while maintaining a strong developer experience.
  • Help define API conventions, versioning and deprecation policy, and review standards to keep APIs across the platform consistent and predictable.
  • Build tracing and instrumentation that let users follow an agent run end to end across models, tools, and sub-agents.
  • Build customer reporting that shows agent performance, costs, and areas for improvement.
  • Build audit logging and team-scoped views for enterprise customers.
Desired Qualifications
  • Experience with OpenTelemetry or distributed tracing at scale.
  • Experience with analytics datastores such as ClickHouse or Druid.
  • Experience designing developer-facing SDKs used by external customers.
  • AI or LLM platform experience, including token and cost accounting or agent-run tracing.
  • Startup or growth-stage experience.

About the company

Stack AI builds an enterprise-ready, no-code platform for creating and deploying AI agents and workflow automations. It uses a visual drag-and-drop interface to connect data sources and large language models with business systems like SharePoint, Snowflake, Salesforce, Google Drive, and Notion, enabling knowledge-based assistants, contract analysis, RFP responses, and data extraction. The platform lets teams assemble AI-powered workflows that fetch data, run models, and deploy applications without heavy coding, speeding internal tooling. Its differentiators are enterprise-focused deployment options (including on-premise), compliance (SOC 2, GDPR, HIPAA), and tiered pricing, aimed at reducing deployment time and improving model accuracy across back-office processes.

Company Size

51-200

Company Stage

Series A

Total Funding

$19.1M

Headquarters

San Francisco, California

Founded

2021

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Simplify's Take

What believers are saying

  • February 2026 shipped SCIM 2.0, OpenTelemetry audit logs, and SDLC environments.
  • August 2026 site touts 300+ integrations and regulated deployments for complex enterprises.
  • Asana's May 2026 acquisition gives StackAI immediate enterprise distribution and sales reach.

What critics are saying

  • Asana bought StackAI for $75 million; the brand disappears inside a larger platform.
  • Microsoft Copilot, Anthropic, and Salesforce can bundle adjacent agent tooling faster.
  • Enterprise no-code agents commoditize quickly; StackAI loses pricing power by 2027.

What makes StackAI unique

  • Enterprise IT teams get VPC, on-prem, audit logs, and feature controls.
  • StackAI integrates 300+ systems, including SharePoint, Snowflake, Salesforce, and Google Drive.
  • Asana acquired StackAI on May 28, 2026, validating its cross-system agent layer.

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Benefits

Competitive Compensation Package

Company News

AIM Research
May 8th, 2025
Stack AI Secures $16M for AI Agents

Stack AI has raised $16 million to develop a platform that allows enterprises to create custom AI agents. These agents can interact with various systems and be deployed for a range of tasks, aiming to enhance work intelligence and efficiency rather than reinvent it.

Toolhunt
May 7th, 2025
RelevanceAI and Stack AI Secure Millions in Funding to Bring AI Agents to the Workforce

Stack AI, on the other hand, secured $16 million in Series A funding for its platform that allows enterprises to connect various data sources with large language models and create customized AI agents.

FinSMEs
May 7th, 2025
StackAI Raises $16M in Series A Funding

StackAI, a San Francisco, CA-based platform provider that enables enterprises to create custom AI Agents, raised $16M in Series A funding.

GeekWire
Aug 2nd, 2024
How Is Ai Helping You At Work? We Asked Seattle Founders And Investors About Their Favorite Tools

From left, top row: Jenny Cronin, Vik Korrapati, William Zee, Nermeeta Dhillon, Mary O’Kelly Boit, T.A. McCann. Bottom row: Minh Le, Morgan Blumberg, Diego Oppenheimer, Lekshmi Venu, Martín Ramírez, Dave Parker. (GeekWire Photos / Taylor Soper)The use cases for generative AI are still being ironed out amid a plethora of new tools hitting the market. It’s not totally clear what can actually provide value to everyday work — but there are certainly some early signals of adoption. That was our takeaway after speaking with Seattle founders, investors, and innovators at the AI2 Incubator‘s annual summer party on Thursday evening.The BBQ bash, hosted by the Seattle-based firm that invests and incubates AI-focused startups, was the perfect place to get a pulse on popular AI apps and services that folks are using.Many were quick to mention a favorite tool that was saving time or helping boost knowledge

TechCrunch
May 21st, 2024
Stack AI raises $3M for AI workflows

Stack AI, founded by MIT PhD graduates Antoni Rosinol and Bernardo Aceituno, aims to simplify AI-driven workflow creation. After joining Y Combinator's Winter 23 cohort, they developed a low-code tool for building AI workflows, such as chatbots and AI assistants. The platform connects data sources and LLMs, enabling powerful automations with minimal coding. In six months, they’ve gained over 200 customers and raised $3 million. Early adopters include the healthcare sector, where data reliability is crucial.