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6sense

AI-driven ABM platform with predictive analytics

Manager Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • At least 10 years of software engineering experience, including at least 2 years managing teams of 5 or more.
  • A BS or MS in Computer Science, Software Engineering, or a related field.
  • Architectural depth to evaluate tradeoffs, including in AI-assisted output.
  • A background in platform, API, data, or infrastructure engineering.
  • Experience working in a PM/Design pod environment and fluency with JIRA and ProductBoard or equivalent.
  • Strong fundamentals in data structures, design patterns, and object-oriented programming.
  • Proficiency in Python or Java, with enough depth to participate meaningfully in code review and design conversations.
  • Strong experience in distributed systems, data pipelines, or APIs.

Responsibilities

  • Lead sprint delivery for a team of 6–12 engineers, including planning, dependencies, risks, and release readiness.
  • Sequence work across people and AI-assisted workflows, not just story points.
  • Keep JIRA, ProductBoard, and the dependency tracker current, with no stale tickets or surprises at SoS.
  • Track cycle time and escaped defects, and own the trends.
  • Review code and AI-generated output to assess whether it solves the right problem; clean tests alone are insufficient.
  • Define what requires human sign-off, what can be spot-checked, and what warrants a second pass.
  • Write specifications as contracts with clear scope, explicit constraints, and stated boundaries.
  • Stay close to architecture decisions, technical debt, and incident response.
  • Contribute to software architecture decisions and patent writing for innovative work.
  • Run 1:1s focused on growth rather than sprint status.
  • Coach engineers on when to trust AI output and when to push back, and model this explicitly.
  • Give clear, timely feedback; build development plans; and address performance early.
  • Help the team build skill in directing AI, not just adopting a tool.
  • Calibrate hiring panels, provide written feedback, and contribute to calibration discussions.
  • Partner with the PM to maintain a definition of ready and surface risks before they reach leadership meetings.
  • Engage escalations directly, produce root cause analyses, and own P1/P2 support service-level agreements.
  • Set a team tone of accountability, directness, and recognition of others' work.
  • Monitor workload and wellbeing signals before they become problems.
  • Lead by influence across teams and functions, driving cross-team technical decisions without direct authority.

Desired Qualifications

  • Experience running a platform or infrastructure team whose customers are other engineers.
  • Experience coaching an individual contributor through a meaningful promotion, with concrete examples.
  • Experience with AI-assisted engineering workflows and a practical approach to reviewing output.
  • Experience collaborating across time zones.
  • Ability to adopt a framework before it is perfect.

About the Company

6sense

AI-driven ABM platform with predictive analytics

6sense provides an AI-powered platform for ABM and predictive analytics in the B2B space. It analyzes large data sets to identify in-market accounts and reveals the anonymous buyer journey, helping teams target and engage potential customers. The platform offers features for precise advertising targeting, customer insights, and sales productivity, sold on a subscription basis with consulting and training services. Its goal is to help businesses find, engage, and convert the right accounts at the right time by focusing on in-market signals and anonymous buyer data.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$528.1M
Headquarters
San Francisco, CA
Founded
2013

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