Privacy Policy at Upside

Upside·1d ago

Job description

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Small, high-impact team: 12 people serving ambitious B2B companies; every hire has outsized ownership.
Founding team with proven track record: Co-founders are veterans of $100M+ orgs (Branch, etc.) and deeply technical.
Cutting-edge AI infrastructure: Work on knowledge graphs, LLM sandboxing, multi-source data resolution.
Remote/hybrid: Presence in San Francisco and United Kingdom; likely flexible, though not explicitly stated.
Engineering culture: Python, SQL, dbt, Looker, modern data stack; focus on correctness, security, and moving fast.
Growth trajectory: 100% headcount growth YoY, early stage with massive market opportunity in GTM analytics.

One-liner: A revenue attribution and intelligence platform that reconstructs go-to-market data into a forensically accurate knowledge graph for B2B teams.
Entity Type: Private (startup, stage not disclosed)
Headquarters: San Francisco, California, United States
Founded: 2024
Founders: Mada Seghete (CEO), Jonas Bauer (Engineering), Alex Bauer (Product), Dan Ahmadi

Primary Industry: Data Infrastructure and Analytics; Go-to-Market (GTM) Intelligence
Target Customers: B2B companies selling high-ticket items (Enterprise, mid-market); Sales, Marketing, Customer Success & Ops teams
Mission: Provide the first “system of truth” for GTM insights by unifying scattered data into a trusted, AI-ready record.

Data Foundation: Connects Salesforce, Marketo, HubSpot, Gong, etc. in a few OAuth clicks, resolves contacts and buying groups, and heals data gaps — no cleanup required.
Genesis™ Data Core: Next-generation knowledge graph that links people, touchpoints, and timelines into a dynamic map of every account’s experience.
Radiant: Active context layer that shares your definitions, pipeline structure, and field meanings so AI agents produce consistent answers.
Upside Agent: Sandboxed Claude instance that answers questions, plans analysis, and returns structured results within your Upside environment.
Deep Research: Analyst-quality queries across entire cohorts of accounts (dozens or hundreds at once) returning structured, comparable data.
Pipedash: AI-powered multi-touch attribution that allocates credit in real dollars and cites evidence behind every number.
Dashboard: Pre-built and custom reports (e.g., board-ready funnel, campaign impact, rep performance) without SQL.
Miniapps: Custom internal tools built by operators themselves, wired to live data, replacing point tools.
Insight Engineering: Tailored analyses (competitive landscape, churn reasons) delivered by the Upside team in days.
MCP: Expose GTM data inside Claude, ChatGPT, Cursor, etc. under existing permissions.

Valuation/Market Cap: Not disclosed
Key Metric: Total headcount of 12 (as of mid-2025), growing 100% YoY. Revenue not publicly available.
Notable Investors/Partners: Not disclosed in available sources. Co-founders previously at Branch (Mada Seghete), Corpay, Citi, etc.
Growth Signals: SOC 2 Type II certified before first product shipped; 994 LinkedIn followers (+185.6% yearly); customers seeing insights in days; team expansion into UK; product launched in 2024 and already shipping multiple platform layers.

Forensic knowledge graph automatically reconstructs missing touchpoints and resolves identity across systems — no manual mapping.
SOC 2 Type II, enterprise SSO/SCIM, data residency, and encryption built in from day one, designed to pass procurement reviews.
Speed to value: No setup project or data cleanup — insights in days, not quarters.
Cited evidence: Every attribution and insight includes traceable evidence, surviving drill-ins from finance.
AI sandboxed to your data: Models never trained on customer data, and agents are grounded in your definitions (Radiant).

Become the “data layer for agentic GTM” — the standard platform for powering AI-native sales and marketing workflows.
Expand enterprise permissions (Mithril) and next-gen Genesis capabilities (pre-encoded knowledge graphs).
Continue building mini-app and MCP ecosystem so GTM data is accessible everywhere.
Maintain security-first posture while shipping fast (e.g., SOC 2 before product launch).

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