AI Generalist

1 week ago

Bengaluru, Karnataka, India Albatronix Full time US$ 1,00,000 - US$ 1,50,000 per year

Industry & Sector:
HRTech / Recruitment Technology startup building an autonomous AI recruiter that automates sourcing, outreach, video screening, ranking, and scheduling. We operate at the intersection of AI, automation, product, and growth—shipping AI-driven workflows that reduce time-to-hire for enterprise customers.

Role & Responsibilities

  • Lead AI-driven automation projects: identify repetitive processes across support, ops, and sales, and design end-to-end automated workflows using GPT APIs, LangChain, no-code platforms, and webhooks.
  • Build, integrate, and maintain automation tooling (Zapier/Make, Retool, custom API connectors); document workflows and ensure reliable handoffs between systems and teams.
  • Manage customer onboarding and support escalations—triage technical issues, configure product for customers, and close tickets with a strong customer-first focus.
  • Support sales and growth: run technical demos, participate in sales calls, identify upsell/expansion opportunities, and help refine pitch and GTM playbooks with automation-enabled improvements.
  • Channel customer feedback into product priorities: prototype solutions with product/engineering, validate hypotheses, and drive rapid experiments to improve retention and engagement.
  • Define success metrics and monitor automation performance—track KPIs, identify failure modes, and iterate to improve accuracy, reliability, and ROI of AI workflows.

Skills & Qualifications
Must-Have

  • 2+ years in AI operations, product ops, customer success, or sales engineering at a SaaS/AI startup or equivalent experience.
  • Practical experience with LLMs and prompt engineering; hands-on with GPT APIs and familiarity with LangChain or similar frameworks.
  • Proven ability to build automations using no-code platforms (Zapier, Make) and integrate via APIs/webhooks; basic scripting skills (Python or ).
  • Experience delivering technical demos, onboarding customers, and acting as a liaison between customers and engineering teams.
  • Strong problem-solving, customer empathy, and capacity to own ambiguous cross-functional work with minimal supervision.
  • Excellent written and verbal communication skills; comfortable documenting flows, runbooks, and handoffs.

Preferred

  • Familiarity with Retool, LangGraph, vector search (FAISS), or analytics instrumentation (Mixpanel/Amplitude, SQL).
  • Background in sales ops, growth, or founding-team roles with exposure to revenue expansion strategies.

Benefits & Culture Highlights

  • High-ownership role with direct founder exposure and accelerated career growth into leadership (success, growth, or ops).
  • Flexible work setup, competitive compensation, learning budget, and the opportunity to experiment with bleeding-edge AI stacks.
  • Small, collaborative, fast-paced startup culture that values impact, autonomy, and rapid iteration.

Keywords: LLM, prompt engineering, GPT API, LangChain, automation, Zapier, Make, Retool, product ops, customer success, sales engineering, SaaS, AI startup, onboarding, demos, scripting, Python, webhooks.

Skills: customer success,artificial intelligence,sales operations,customer success planning,technical liaison,upsell strategy,client management,ai-driven operations,no-code tools,apis,prompt engineering,ai tools,crm,demos,technical support,sales support,generative ai,customer success management,automation,customer support,sales process improvement,product insights

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