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SugarAI

Builds AI-guided CRM software for business sales teams

Manager – Software Engineering

Engineering LeadershipUpdated on Nov 13
Full-timeCraiova, RomaniaRON14.9k - RON18.4k /mo

About the Job

Requirements

  • Personal fluency with agentic development tools such as Claude Code, Cursor, Copilot, or equivalents, with the ability to use them and coach others effectively.
  • At least 4 years of software engineering experience in production SaaS environments, with technical depth to engage credibly with engineers.
  • At least 2 years of engineering management experience with direct responsibility for a team's delivery and people outcomes.
  • A demonstrated track record of driving adoption of AI-first or agentic development practices within a team and changing how the team works.
  • Hands-on experience with SDD/BDD frameworks, agile delivery, and CI/CD pipelines.
  • Strong coaching and feedback skills, including the ability to have honest, specific conversations with engineers at all levels about performance, growth, and expectations.
  • Clear, structured communication and the ability to represent the team's status, risks, and needs accurately to product and engineering leadership.

Responsibilities

  • Build and operate team systems that make high-velocity, high-quality AI-first delivery repeatable.
  • Drive adoption of agentic development practices across the team, including SDD/BDD specification standards, agentic tool utilization, attestation review norms, and AI-assisted test generation; build workflows and maintain standards.
  • Track and act on team performance signals, including velocity trends, quality metrics, AI tool utilization, specification coverage, and defect rates, using data to coach and improve.
  • Identify and eliminate systemic blockers, including process gaps, tooling friction, unclear requirements, and unresolved dependencies.
  • Stay current with agentic development tooling and bring relevant advances to the team.
  • Own team delivery commitments, including scope, sequencing, estimation quality, and on-time execution across sprints and program increments.
  • Translate strategy and roadmap priorities into sequenced team plans with clear ownership, realistic estimates, and explicit risks.
  • Partner with product managers and technical leads to clarify requirements, prevent late scope changes, and protect engineering focus.
  • Escalate risks, blockers, and trade-off decisions early enough for action, with a recommended path forward.
  • Build a team culture of trust, accountability, candid feedback, and meaningful work.
  • Coach engineers on agentic development skills, including evaluating AI-generated code and writing effective specifications.
  • Own the team's talent lifecycle, including hiring, onboarding, performance management, and career development.
  • Develop senior engineers into leaders who can own initiatives end-to-end and mentor others.
  • Maintain sufficient technical depth to partner credibly with engineers, assess trade-offs, challenge over-engineered designs, and identify decisions requiring scrutiny.
  • Participate in specification reviews, design reviews, architecture discussions, and incident retrospectives.
  • Collaborate with peer engineering managers, Staff engineers, and the Director to align cross-team technical practices, shared standards, and architectural consistency.

Desired Qualifications

  • Experience managing in an AI-first or agentic engineering environment where most code is AI-assisted.
  • Experience building or improving engineering team operating systems, such as sprint cadences, specification review processes, quality gates, or delivery metrics programs.
  • Experience hiring senior engineers and building teams in a competitive talent market.
  • Background in B2B SaaS, CRM, or revenue technology.

About the Company

SugarAI

Builds AI-guided CRM software for business sales teams

SugarAI builds customer relationship management software for business-to-business sales teams, particularly manufacturers, wholesalers and distributors that depend on repeat orders from existing accounts. Its software analyzes customer and prospect data to show sellers which accounts and deals hold the most upside and to flag early signs that revenue is at risk. Alongside its flagship sales product, Sugar Sell, the company sells tools for marketing automation and customer service. Customers pay per user per month on annual plans and can implement the system with SugarAI directly or through partner firms. The company was founded in 2004 and is headquartered in Denver, Colorado.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Denver, CO
Founded
2004

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