Go-To-Market / Engineering Go-to-Market Engineer Full-Time Bengaluru, India Apply Now! Hosted.ai is a turnkey, multi-tenant AI cloud platform enabling service providers to launch and scale GPU-as-a-Service (GPUaaS) with maximum efficiency. We are pioneering GPU over-commit and infrastructure optimization technologies to help enterprises and service providers run AI workloads more profitably.

Role Overview ‍ We are seeking a Go-to-Market Engineer to build the connective tissue between our GTM teams and the platforms they rely on. This is a builder role, not a configure-and-forget CRM job: you'll design and ship integrations, automations, and AI agents across a four-system architecture (Pipedrive CRM, the GPUaaS platform, the my.hosted.ai customer portal, and Xero). The ideal candidate is an AI-native engineer who thinks in code, not just workflows, and who can turn messy business processes into a source of truth that leadership trusts more than rep memory.

Key Responsibilities Build the pipeline-truth layer: a deal-by-deal view with realistic close probability, risk signals, and the questions to probe before deals slip.

Design, build, and iterate on LLM agents and production workflows across the GTM stack, including lead enrichment, win/loss summarisation, forecast review, and anomaly detection.

Build the bidirectional Pipedrive to GPUaaS bridge with master data discipline, conflict resolution, status sync, and SLA monitoring.

Make Pipedrive the master source for all counterparties, with downstream sync to GPUaaS, the portal, and Xero.

Integrate the my.hosted.ai portal so sign-ups become leads, activity feeds health scoring, and support tickets reach the account team.

Turn manual KYB intake, restricted-country screening, and BIS EAR export-control checks into gated, audited production workflows.

Build dashboards and alerting across Executive, Sales Ops, Compliance, Finance, and Automation Health.

Act as the internal AI engineer-evangelist, helping the rest of GTM build AI into their own work.

Requirements 3–5+ years of production engineering experience, ideally in B2B SaaS, with a track record of integrating meaningful business systems (CRMs, ERPs, billing, custom platforms).

Strong with Python and/or Node.js, with real fluency in idempotency, retries, rate limits, and webhook failure modes.

API engineering depth: REST, webhooks, OAuth, conflict resolution, backfills, and eventual consistency, with experience shipping an integration that survived a real outage.

Hands-on workflow orchestration experience (n8n, Make, Temporal, Airflow, or a custom-built equivalent).

LLM-native development experience on OpenAI or Anthropic APIs, including structured tool use, evals, and prompt/model versioning.

Experience treating CRM systems as backends to engineer against, not just configure (Pipedrive ideal; Salesforce or HubSpot acceptable).

SQL and analytics fluency, with comfort building dashboards in Metabase, Looker, or similar.

Solid commercial pattern recognition: the ability to read a deal, spot risk early, and design systems that surface problems before they escalate. Nice to Have Background in B2B SaaS GTM, RevOps, Sales Ops, or Marketing Ops engineering.

Finance system integration experience (Xero, NetSuite, QuickBooks).

Familiarity with AI infrastructure, GPU compute, or hyperscaler economics.

Compliance-aware engineering experience (KYB/AML, BIS EAR, or other export-control regimes).

Prior experience at a Seed or Series A stage company.

Open-source contributions to relevant tools (n8n, LangChain, Pipedrive SDKs, etc.).

Why Join

Us? Build the GTM engineering function from the ground up, with no inherited technical debt.

Work on genuinely rich engineering problems at the intersection of systems integration, compliance, and AI.

Sit at the center of one of the most consequential infrastructure markets of the decade.

Report directly to the COO with visibility across the CCO and Finance Director, with your work seen by the people running the company.

Meaningful equity at Series Seed economics, with real runway, customers, and revenue already in place. ‍ Hosted.ai is a turnkey, multi-tenant AI cloud platform enabling service providers to launch and scale GPU-as-a-Service (GPUaaS) with maximum efficiency. We are pioneering GPU over-commit and infrastructure optimization technologies to help enterprises and service providers run AI workloads more profitably.

Role Overview ‍ We are seeking a Go-to-Market Engineer to build the connective tissue between our GTM teams and the platforms they rely on. This is a builder role, not a configure-and-forget CRM job: you'll design and ship integrations, automations, and AI agents across a four-system architecture (Pipedrive CRM, the GPUaaS platform, the my.hosted.ai customer portal, and Xero). The ideal candidate is an AI-native engineer who thinks in code, not just workflows, and who can turn messy business processes into a source of truth that leadership trusts more than rep memory.

Key Responsibilities Build the pipeline-truth layer: a deal-by-deal view with realistic close probability, risk signals, and the questions to probe before deals slip.

Design, build, and iterate on LLM agents and production workflows across the GTM stack, including lead enrichment, win/loss summarisation, forecast review, and anomaly detection.

Build the bidirectional Pipedrive to GPUaaS bridge with master data discipline, conflict resolution, status sync, and SLA monitoring.

Make Pipedrive the master source for all counterparties, with downstream sync to GPUaaS, the portal, and Xero.

Integrate the my.hosted.ai portal so sign-ups become leads,



activity feeds health scoring, and support tickets reach the account team.

Turn manual KYB intake, restricted-country screening, and BIS EAR export-control checks into gated, audited production workflows.

Build dashboards and alerting across Executive, Sales Ops, Compliance, Finance, and Automation Health.

Act as the internal AI engineer-evangelist, helping the rest of GTM build AI into their own work.

Requirements 3–5+ years of production engineering experience, ideally in B2B SaaS, with a track record of integrating meaningful business systems (CRMs, ERPs, billing, custom platforms).

Strong with Python and/or Node.js, with real fluency in idempotency, retries, rate limits, and webhook failure modes.

API engineering depth: REST, webhooks, OAuth, conflict resolution, backfills, and eventual consistency, with experience shipping an integration that survived a real outage.

Hands-on workflow orchestration experience (n8n, Make, Temporal, Airflow, or a custom-built equivalent).

LLM-native development experience on OpenAI or Anthropic APIs, including structured tool use, evals, and prompt/model versioning.

Experience treating CRM systems as backends to engineer against, not just configure (Pipedrive ideal; Salesforce or HubSpot acceptable).

SQL and analytics fluency, with comfort building dashboards in Metabase, Looker, or similar.

Strong commercial pattern recognition: the ability to read a deal, spot risk early, and design systems that surface problems before they escalate. Nice to Have Background in B2B SaaS GTM, RevOps, Sales Ops, or Marketing Ops engineering.

Finance system integration experience (Xero, NetSuite, QuickBooks).

Familiarity with AI infrastructure, GPU compute, or hyperscaler economics.

Compliance-aware engineering experience (KYB/AML, BIS EAR, or other export-control regimes).

Prior experience at a Seed or Series A stage company.

Open-source contributions to relevant tools (n8n, LangChain, Pipedrive SDKs, etc.).

Why Join

Us? Build the GTM engineering function from the ground up, with no inherited technical debt.

Work on genuinely rich engineering problems at the intersection of systems integration, compliance, and AI.

Sit at the center of one of the most consequential infrastructure markets of the decade.

Report directly to the COO with visibility across the CCO and Finance Director, with your work seen by the people running the company.

Meaningful equity at Series Seed economics, with real runway, customers, and revenue already in place. ‍ Hosted.ai is a turnkey, multi-tenant AI cloud platform enabling service providers to launch and scale GPU-as-a-Service (GPUaaS) with maximum efficiency. We are pioneering GPU over-commit and infrastructure optimization technologies to help enterprises and service providers run AI workloads more profitably.

Role Overview ‍ We are seeking a Go-to-Market Engineer to build the connective tissue between our GTM teams and the platforms they rely on. This is a builder role, not a configure-and-forget CRM job: you'll design and ship integrations, automations, and AI agents across a four-system architecture (Pipedrive CRM, the GPUaaS platform, the my.hosted.ai customer portal, and Xero). The ideal candidate is an AI-native engineer who thinks in code, not just workflows, and who can turn messy business processes into a source of truth that leadership trusts more than rep memory.

Key Responsibilities Build the pipeline-truth layer: a deal-by-deal view with realistic close probability, risk signals, and the questions to probe before deals slip.

Design, build, and iterate on LLM agents and production workflows across the GTM stack, including lead enrichment, win/loss summarisation, forecast review, and anomaly detection.

Build the bidirectional Pipedrive to GPUaaS bridge with master data discipline, conflict resolution, status sync, and SLA monitoring.

Make Pipedrive the master source for all counterparties, with downstream sync to GPUaaS, the portal, and Xero.

Integrate the my.hosted.ai portal so sign-ups become leads, activity feeds health scoring, and support tickets reach the account team.

Turn manual KYB intake, restricted-country screening, and BIS EAR export-control checks into gated, audited production workflows.

Build dashboards and alerting across Executive, Sales Ops, Compliance, Finance, and Automation Health.

Act as the internal AI engineer-evangelist, helping the rest of GTM build AI into their own work.

Requirements 3–5+ years of production engineering experience, ideally in B2B SaaS, with a track record of integrating meaningful business systems (CRMs, ERPs, billing, custom platforms).

Strong with Python and/or Node.js, with real fluency in idempotency, retries, rate limits, and webhook failure modes.

API engineering depth: REST, webhooks, OAuth, conflict resolution, backfills, and eventual consistency, with experience shipping an integration that survived a real outage.

Hands-on workflow orchestration experience (n8n, Make, Temporal, Airflow, or a custom-built equivalent).

LLM-native development experience on OpenAI or Anthropic APIs, including structured tool use, evals, and prompt/model versioning.

Experience treating CRM systems as backends to engineer against,



not just configure (Pipedrive ideal; Salesforce or HubSpot acceptable).

SQL and analytics fluency, with comfort building dashboards in Metabase, Looker, or similar.

Strong commercial pattern recognition: the ability to read a deal, spot risk early, and design systems that surface problems before they escalate. Nice to Have Background in B2B SaaS GTM, RevOps, Sales Ops, or Marketing Ops engineering.

Finance system integration experience (Xero, NetSuite, QuickBooks).

Familiarity with AI infrastructure, GPU compute, or hyperscaler economics.

Compliance-aware engineering experience (KYB/AML, BIS EAR, or other export-control regimes).

Prior experience at a Seed or Series A stage company.

Open-source contributions to relevant tools (n8n, LangChain, Pipedrive SDKs, etc.).

Why Join

Us? Build the GTM engineering function from the ground up, with no inherited technical debt.

Work on genuinely rich engineering problems at the intersection of systems integration, compliance, and AI.

Sit at the center of one of the most consequential infrastructure markets of the decade.

Report directly to the COO with visibility across the CCO and Finance Director, with your work seen by the people running the company.

Meaningful equity at Series Seed economics, with real runway, customers, and revenue already in place. ‍ Hosted.ai is a turnkey, multi-tenant AI cloud platform enabling service providers to launch and scale GPU-as-a-Service (GPUaaS) with maximum efficiency. We are pioneering GPU over-commit and infrastructure optimization technologies to help enterprises and service providers run AI workloads more profitably. Hosted.ai is a turnkey, multi-tenant AI cloud platform enabling service providers to launch and scale GPU-as-a-Service (GPUaaS) with maximum efficiency.

We are pioneering GPU over-commit and infrastructure optimization technologies to help enterprises and service providers run AI workloads more profitably.

Role Overview ‍ We are seeking a Go-to-Market Engineer to build the connective tissue between our GTM teams and the platforms they rely on. This is a builder role, not a configure-and-forget CRM job: you'll design and ship integrations, automations, and AI agents across a four-system architecture (Pipedrive CRM, the GPUaaS platform, the my.hosted.ai customer portal, and Xero). The ideal candidate is an AI-native engineer who thinks in code, not just workflows, and who can turn messy business processes into a source of truth that leadership trusts more than rep memory.

Key Responsibilities Build the pipeline-truth layer: a deal-by-deal view with realistic close probability, risk signals, and the questions to probe before deals slip.

Design, build, and iterate on LLM agents and production workflows across the GTM stack, including lead enrichment, win/loss summarisation, forecast review, and anomaly detection.

Build the bidirectional Pipedrive to GPUaaS bridge with master data discipline, conflict resolution, status sync, and SLA monitoring.

Make Pipedrive the master source for all counterparties, with downstream sync to GPUaaS, the portal, and Xero.

Integrate the my.hosted.ai portal so sign-ups become leads, activity feeds health scoring, and support tickets reach the account team.

Turn manual KYB intake, restricted-country screening, and BIS EAR export-control checks into gated, audited production workflows.

Build dashboards and alerting across Executive, Sales Ops, Compliance, Finance, and Automation Health.

Act as the internal AI engineer-evangelist, helping the rest of GTM build AI into their own work.

Requirements 3–5+ years of production engineering experience, ideally in B2B SaaS, with a track record of integrating meaningful business systems (CRMs, ERPs, billing, custom platforms).

Strong with Python and/or Node.js, with real fluency in idempotency, retries, rate limits, and webhook failure modes.

API engineering depth: REST, webhooks, OAuth, conflict resolution, backfills, and eventual consistency, with experience shipping an integration that survived a real outage.

Hands-on workflow orchestration experience (n8n, Make, Temporal, Airflow, or a custom-built equivalent).

LLM-native development experience on OpenAI or Anthropic APIs, including structured tool use, evals, and prompt/model versioning.

Experience treating CRM systems as backends to engineer against, not just configure (Pipedrive ideal; Salesforce or HubSpot acceptable).

SQL and analytics fluency, with comfort building dashboards in Metabase, Looker, or similar.

Strong commercial pattern recognition: the ability to read a deal, spot risk early, and design systems that surface problems before they escalate. Nice to Have Background in B2B SaaS GTM, RevOps, Sales Ops, or Marketing Ops engineering.

Finance system integration experience (Xero, NetSuite, QuickBooks).

Familiarity with AI infrastructure, GPU compute, or hyperscaler economics.

Compliance-aware engineering experience (KYB/AML, BIS EAR, or other export-control regimes).

Prior experience at a Seed or Series A stage company.

Open-source contributions to relevant tools (n8n, LangChain, Pipedrive SDKs, etc.).

Why Join

Us? Build the GTM engineering function from the ground up, with no inherited technical debt.

Work on genuinely rich engineering problems at the intersection of systems integration, compliance, and AI.

Sit at the center of one of the most consequential infrastructure markets of the decade.

Report directly to the COO with visibility across the CCO and Finance Director, with your work seen by the people running the company.

Meaningful equity at Series Seed economics, with real runway, customers, and revenue already in place. ‍

📌 Go-to-Market Engineer (Bengaluru)
🏢 hosted·ai
📍 Bengaluru