Senior Engineering Manager

Job Description :

You'll Get To :

- Manage Software Engineers within cross-functional Agile Teams to deliver valuable and high-quality functionality to our clients.

- Define and drive an overall unifying vision for teams and their projects, processes, workflows, and related areas through motivation, consensus building, and leading change.

- Provide technical leadership and guidance to both your team members and your project peers.

- Implement and drive adaptations to teams and strategic organizational processes, workflows, and related areas.

- Leverage your technical and domain knowledge to partner with Product representatives and your teams in defining project deliverables, presenting innovative solutions, and ultimately, successfully plan, manage and drive the timely delivery of corporate initiatives.

- Work with Product and technical stakeholders, as well as Program Management, to define project requirements and deliverables, and, ultimately, plan and manage the timely delivery of high-quality projects.

- Review and understand core strengths and weaknesses across team members, and proactively engage, mentor, and define goals to capitalize upon strengths or mitigate gaps.

- Inspire your team, help your team members grow and succeed.

- Effectively plan, communicate, and conduct presentations (project milestones, risk mitigation, road maps, resource needs, technical information, etc.) for senior management and stakeholders while conveying and driving actionable items to your teams.

- Work closely, partner, and collaborate with our Architects to provide exceptional solutions that adhere to, or create, standards across teams.

- Manage budget and resources for your team.

- Effectively communicate and resolve personnel issues on your teams.

- Contribute to design reviews, code reviews, and hands-on work in your respective domain.

- Manage day-to-day administrative tasks such as time-off requests, sick days, etc.

- Other duties as assigned.

What You'll Bring :

- Overall experience should be 13+ years in a related field.

- 8+ years of relevant experience in a related field.

- Education : BS, EE or CS degree is a plus.

- Exceptional communication and people skills, with a passion for product excellence, talent development and mentoring.

- Knowledge of Build, Deployment, and Continuous Integration concepts and best practices, including full SDLC.

- Strong experience in Agile methodology, processes, and best practices.

- Experience in TDD concepts, methodologies, and best practices :

i. mocks, spies, unit tests, code coverage, etc.

ii. BDD experience is a plus.

- Experience with technical design and hands-on work within a modern OOP-based language (C#, Java, Python, etc.) and related stack.

- Experience in modern Database platforms, including such items as data modeling, stored procedures, schema definitions, performance and scaling considerations.

- Recent experience working with, troubleshooting and tuning across all layers of a modern SaaS, N-Tier, web-based application.

- Proven experience working with large-scale, high-performance systems, with a strong track record of addressing and solving scalability challenges in cloud-based environments.

- Understanding of QA standards and best practices, including automation, regression, and smoke testing, white/black-box testing, and related QA processes.

- Hands-on exposure to Agentic AI and Generative AI, including designing, building, and deploying multi-agent systems, agent orchestration, planning/decomposition of complex tasks, and tool-augmented or Agentic RAG workflows.

- Experience establishing agent governance - defining policies, guardrails, and deterministic boundary controls (e.g., budget limits, disallowed actions) to safely operate autonomous agents in production, along with Human-in-the-Loop (HITL) approval and escalation workflows.

- Familiarity with auditability and explainability practices for AI and agentic systems, including immutable audit logging and traceable, explainable decision trajectories to support compliance and risk review.

- Understanding of AI risk mitigation practices, such as defending against prompt injection and rogue planning, and implementing containment and circuit-breaker mechanisms for agents accessing sensitive data.

- Ability to define evaluation frameworks and production-readiness metrics (accuracy, cost, latency, coverage) for Agentic AI and GenAI solutions, and to guide engineers on evaluation contracts and component boundaries across agent memory, planning, and tool usage.

Thrive At BlackLine Because You Are Joining :

- A technology-based company with a sense of adventure and a vision for the future.

- Every door at BlackLine is open.

- Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation!

- A culture that is kind, open, and accepting.

- It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.

- A culture where BlackLiner's continued growth and learning is empowered.

- BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.

Skills

OOPS, C#, Java, Python, Engineering Management, SaaS, Agentic AI, AI Integration