# AI & Automation Analyst at SingleStore

> India · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Asinglestore%3A8052299 (read 2026-11-04).

## Facts (observed)

- Company: [SingleStore](https://alderhq.app/companies/singlestore)
- Location text: Bangalore; Hyderabad
- Where it can be done from (inferred): India (evidence: "Location lists "bangalore"")
- Posted: 2026-07-08 (118 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/singlestore/jobs/8052299
- Skills listed (inferred): Python, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Bengaluru, n 9): p25 ₹3L, median ₹3.6L, p75 ₹10L
- Licensed UK sponsor: registered as "Singlestore UK Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

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

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Asinglestore%3A8052299 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.