--- title: 'Senior AI & Automation Manager at SingleStore-LinkedIn' canonical: 'https://feeny.ai/job/senior-ai-automation-manager-singlestore-linkedin-bengaluru-n3vqy7pk3y08' type: 'job' last_seen: '2026-10-14' --- # Senior AI & Automation Manager at SingleStore-LinkedIn - **Company:** SingleStore-LinkedIn - **Location:** Bengaluru, India - **Posted:** 2026-07-08 - **Last confirmed live:** 2026-10-14 - **Apply:** https://job-boards.greenhouse.io/singlestore-linkedin/jobs/8052301 ## Job description ## 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 ## About SingleStore-LinkedIn ## Company Overview - **One-liner**: SingleStore is a real-time distributed SQL database platform that enables enterprises to run transactions and analytics on a single system for intelligent, data-intensive applications. - **Entity Type**: Private (Venture-backed; parent company Vector Capital Management) - **Headquarters**: San Francisco, California, United States - **Founded**: 2011 - **Founders**: Eric Frenkiel, Nikita Shamgunov, Adam Prout ## Core Business - **Primary industry**: Database software / Real-time data platform (RDBMS, cloud data services) - **Target customers**: B2B, mid-market to enterprise, spanning industries like finance, e-commerce, SaaS, and AI-driven applications - **Mission/purpose**: “One platform for all data, built so you can engage with insight in every moment” – enabling real-time decision-making and AI workloads. ## Products & Services - **SingleStore (Database Engine)**: Distributed, relational SQL database that supports transactions, analytics, JSON, geospatial, key-value, vector, and time-series data. Deployable on-premises, in any cloud, via Kubernetes, or as a managed service. - **SingleStore Helios**: Fully managed cloud database service (DBaaS) for simplified deployment and scaling. - **SingleStore Aura**: AI-powered performance optimization and management layer (mentioned on homepage). - **Data Lake Integration**: Supports Apache Iceberg and other open table formats for hybrid transactional/analytical processing (HTAP). ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company; last known funding round $964M total raised) - **Key Metric**: Annual revenue ~$100M (LinkedIn estimate); total funding $964.2M across 13 rounds (seed through Series E and later rounds) - **Notable Investors/Partners**: Backed by Vector Capital (parent), with prior investors including prominent venture firms (e.g., from Series rounds). Partners include cloud providers (AWS, Azure, GCP) and data ecosystem players. - **Growth Signals**: 388 employees with offices in US, UK, Portugal, India, Ukraine, Canada, Singapore, Japan, France, Australia. Recent acquisitions of MEMSQL Portugal and SingleStore UK. Active hiring in engineering, sales, and operations (14+ open positions as of mid-2026). LinkedIn follower growth +14.4% yearly. ## Competitive Advantages - **Unified HTAP**: Combines transactions and analytics in a single system, eliminating the need for separate databases and ETL pipelines. - **Real-time performance**: Sub-millisecond queries on petabyte-scale data with ANSI SQL support. - **Deployment flexibility**: On-prem, cloud, hybrid, Kubernetes – runs anywhere Linux runs. - **Vector & AI capabilities**: Native support for vector search and time-series, positioning for enterprise AI workloads. - **Strong engineering talent pool**: Employees recruited from top tech companies (Microsoft, Google, AWS, Oracle, Snowflake, Databricks) and top universities. ## Strategic Focus - **Enterprise AI enablement**: Optimizing the platform for AI/ML workloads (vector databases, real-time inference). - **Cloud expansion**: Growing Helios (DBaaS) and multi-cloud support (Aura platform). - **Data lake integration**: Deepening support for open formats like Apache Iceberg to compete in the lakehouse space. - **Global scaling**: Expanding sales and engineering presence in India, Portugal, and other regions. ## Why Work Here - **Culture**: “Customers First, Performance Driven, Innovation Forward, Open & Honest Communication” – values emphasized on careers page. - **Remote/Hybrid**: “Work remotely if it makes sense for you, your position, your team, and the company.” Many roles remote or hybrid; offices in SF, Sunnyvale, Seattle, Raleigh, London, Lisbon, Kyiv, Hyderabad, Tokyo, Singapore, Paris. - **Benefits**: Comprehensive health/dental/vision, 401k, flexible time off, parental leave, stock grants (equity), home office stipend ($500), cell/internet stipend, fitness subsidy, Modern Health app, charitable donation matching with paid volunteer time off, fertility/family formation reimbursement. - **Engineering culture**: High performance, modern tech stack (distributed systems, cloud-native, AI platforms). Strong internal mobility and career development. - **Employee ratings**: 4.0/5.0 overall on LinkedIn (Work-Life 4.0, Compensation 4.0, Culture 3.8, Career 3.9). ## Sources 1. [LinkedIn Company Page](https://www.linkedin.com/company/singlestore) 2. [SingleStore Careers Page](https://www.singlestore.com/careers/) 3. [SingleStore Jobs (Greenhouse)](https://job-boards.greenhouse.io/singlestore-linkedin) 4. 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