Dealstitch
As of 3 November 2026, Dealstitch has 8 open roles (0 new in 30 days), its data & ai team is hiring most, and its postings name Amazon Web Services, Google Cloud and Microsoft Azure as the tools the team works in.
As of 3 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- , , United States
- Employees
- Self-employed (linkedin)
- Sells to
- private equity firms, venture capital firms, limited partners
- Certifications on site
- Site languages
- EN
- Career system
- Ownsite_html
Dealstitch in one screen
Read from dealstitch.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Dealstitch is an AI consulting and development firm that builds and deploys AI agents for investors in private markets. It offers AI strategy reviews, agent development, systems and data connectors, technology evaluation, team upskilling, and LP readiness support. It serves fund managers and limited partners across private equity, private credit, real estate, venture, and growth equity.
Named on the site: private equity firms, venture capital firms, limited partners, fund managers.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 593 scored.
What Dealstitch says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
Own how our agents and MCP servers are deployed and hosted across Azure, AWS, and Google Cloud.Own how our agents and MCP servers are deployed and hosted across Azure, AWS, and Google Cloud.Own how our agents and MCP servers are deployed and hosted across Azure, AWS, and Google Cloud.MCP servers and must act with the same permissions as the user who invoked them, withoutImplement identity and access so an agent acts with the same permissions as the user who invoked it, through SSO, OAuth, and Microsoft Entra rather than broad service accounts.7+ years of software engineering experience shipping production systems, with strong Python and TypeScript.A track record of taking AI systems into messy, real-world environments and making them work, including the integration and security work that enterprise deployments demand, from REST and GraphQL APIs to SSO, SAML, and IAM.Hands-on experience building LLM applications, including agent orchestration and tool use, retrieval-augmented generation, vector databases such as Pinecone, Weaviate, or pgvector, prompt engineering, and evals.Hands-on experience building LLM applications, including agent orchestration and tool use, retrieval-augmented generation, vector databases such as Pinecone, Weaviate, or pgvector, prompt engineering, and evals.Keep the data layer they depend on pristine: CRM architecture and integrity across HubSpot or Salesforce, deduplication, lifecycle stages, and signal-based triggers like funding rounds and job changes.Integrate agents with the systems a firm already runs by wiring up APIs and enterprise authentication such as SSO, SAML, and OAuth, while meeting their security and compliance bar.2+ years in a data analyst role, with strong SQL and spreadsheet skills.7+ years of software engineering experience shipping production systems, with strong Python and TypeScript.Hands-on experience building LLM applications, including agent orchestration and tool use, retrieval-augmented generation, vector databases such as Pinecone, Weaviate, or pgvector, prompt engineering, and evals.Vendors whose code loads on dealstitch.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
8 open roles, 0 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United States →
| open · new 30 d | |
|---|---|
| Data & AI | 3 · 0 |
| Business development & strategy | 1 · 0 |
| IT operations & business systems | 1 · 0 |
| Product, program & project management | 1 · 0 |
| Sales | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Dealstitch to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Dealstitch
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 593 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Dealstitch (, United States, Self-employed) has 8 open roles, 0 new in 30 days, and names 14 tools in its postings. (Breaknorm, 3 November 2026, https://breaknorm.co/company/dealstitch.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from dealstitch.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ownsite_html career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Dealstitch: questions
Does Dealstitch use Amazon Web Services?
Yes, by the company's own words: 1 posting name it, first seen 2026-06-16, in the it operations & business systems team.
Is Dealstitch hiring?
8 open roles as of 3 November 2026, 0 opened in the last 30 days and 0 closed. The largest team hiring is data & ai.
Where does this profile come from?
From dealstitch.ai itself: we crawled it on 2026-08-03, built the profile on 2026-08-15, and read its career site (Ownsite_html) hourly since. Headcount is from LinkedIn.
Who should I write to at Dealstitch?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 0 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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