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Open nowPosted 108 days ago

Senior AI & Automation Manager

SingleStore39 open roles

Where
Bangalore
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Your applicationOpen nowSenior AI & Automation ManagerSingleStore · Bangalore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on SingleStore's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. SingleStore postings stay open a median of 44 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 108 days ago

SingleStore median: 44 days open

The posting

ABOUT SINGLESTORE & THE TEAM

SingleStore is the Intelligence Platform powering real-time data, analytics, and AI experiences at enterprise scale. Internally, we practice what we preach through our AI & Automation Center of Excellence (CoE): a unit that partners with cross-functional teams to identify high-friction business problems and solve them using AI, automation, and data. As a Senior AI & Automation Manager, you will be overseeing the AI CoE and working directly with executive leadership to tackle the company's highest-impact problems.

WHAT YOU'LL DO

● AI agent development: Building and refining AI agents (e.g., Glean or custom agents) to automate knowledge retrieval, extract intelligence, and support decisions.

● Automation workflows: Design and build automation pipelines to eliminate manual and repetitive processes.

● Data analysis & pipelines: Write Python and SQL to extract, transform, and analyse data from internal systems (Salesforce, data warehouse, etc.), including building scoring and prioritization models.

● Stakeholder discovery: Engage with cross-functional teams to understand pain points, document requirements, and translate them into structured problem statements.

● Process improvement: Identify workflow inefficiencies, propose solutions, and drive implementation end-to-end with strong ownership.

● Project management: Independently scope, sequence, and deliver technical projects.

● Enablement/Team management: Guide or mentor junior team members on technical execution, and act as the go-to resource for AI/automation capability across the org

QUALIFICATIONS / SKILLS

Background

  • 4-6 years of experience in AI, automation, data science or analytics
  • Bachelor's degree in Computer Science Engineering, or a related technical field
  • Preferred background in SaaS, particularly working with cross-functional teams

Technical Competencies

  • Proficient in Python (Pandas, NumPy, Scikit-learn), able to write scripts for data processing, ELT pipeline, API calls, and automation logic
  • Strong SQL and data skills, with expertise in writing queries and working with data structures, joins, and aggregations
  • Experience using AI to build agents that solve real-world use cases using frameworks or custom tooling
  • Hands-on experience with automation tools such as n8n, Zapier, Make, Workato, or custom-built automation solutions
  • Strong systems thinking, with the ability to consider data flow, scalability, and downstream impact rather than focusing only on immediate outputs
  • Experience using Claude Code or similar AI coding assistants to build or configure MCP servers
  • Experience integrating third-party systems through APIs and webhooks

Professional Competencies

  • Strong problem-solving skills, with the ability to translate ambiguous business problems into structured technical requirements
  • High sense of ownership, self-motivated, able to drive tasks end-to-end, and proactive in dentifying and communicating blockers
  • Strong communication and collaboration skills, confident working with non-technical stakeholders, able to present findings clearly, and effective with cross-functional teams
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    The review screen in CV Rocket: how each CV was read, round by round.

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