Head Of AI Infrastructure & Ecosystem Exotel
Exotel
Office Location
Full Time
Experience: 5 - 5 years required
Pay:
Salary Information not included
Type: Full Time
Location: Karnataka
Skills: Product Management, APIs, LLMs, MLOps, cloud infrastructure, Opensource AI, AI Partnerships
About Exotel
Job Description
Reporting to: CEO of Exotel Location: Bangalore preferred, remote considered for exceptional candidates Type: Full-time, cross-functional leadership role Why this role matter sHouse of AI is Exotels bold move into applied voice AI. Instead of building everything internally, we believe in plugging into the best tools, models, and vendors across the ecosystemand delivering customer-specific AI solutions at high velocity .Your mission is to design, assemble, and manage this ecosystem: voice models, data pipelines, vector DBs, fine-tuning partners, compliance tools, and more. This is not a back-office role. Youll be building the infrastructure for how we go to market with AI . Key Responsibiliti es1. Ecosystem Assemb lyIdentify, evaluate, and onboard best-in-class vendors across the 10-component stack (voice SLMs, RAG, LLMOps, integration agents, etc .)Negotiate commercial and integration ter msMaintain a clear build vs partner vs invest map for each compone nt2. Stack Design & Governan ceWork closely with House of AI engineers and TAMs to ensure ecosystem tools are usable, scalable, and complia ntDefine APIs, SLAs, security protocols, and data sharing agreemen tsEnsure components integrate into a unified delivery toolchain for the TAM + agentic coder lo op3. Vendor and Infra O psSet up processes to monitor uptime, cost, latency, and security across ecosystem componen tsOwn partner performance, escalation, and renewal cycl esMaintain a live dashboard of whats deployed where, with what sta ck4. Internal Enableme ntCreate and maintain documentation, onboarding kits, and integration guides for TAM tea msServe as the go-to person for all AI infrastructure questions across delivery tea msRun quarterly ecosystem reviews with senior leadershi p. Who You AreYou think like a product manager but act like an operations lea derYou have deep comfort with LLMs, MLOps, APIs, cloud infra, and open-source AI to olsYouve either worked in an AI-native startup or managed external platforms/integrations in a scaling B2B SaaS comp anyYou move fast, ask sharp questions, and know when good enough is good eno ughBonus: Youve built or run AI partnerships bef ore What Success Looks Like (First 6 Mon ths)100% of our AI delivery stack is sourced, integrated, and docume nted2 customers go live with House of AI use cases using fully ecosystem-delivered infrastruc tureYouve reduced average TAM deployment time by 40% by pre-integrating the right t SLAs,