Senior Engineering Manager, AI Workflows

Jobgether; United States; Hybrid; USD 197,000 - 288,000; Full time

Benefits offered by this job

Equity opportunities

Hybrid work model

Competitive benefits

Location-specific support

Job summary

Jobgether in San Francisco is seeking an experienced engineering leader to drive AI-driven security workflows. You will mentor a team of software engineers, shape quarterly roadmaps with product and leadership, and oversee SDKs and execution environments for secure, scalable workflows.

The role emphasizes hands-on contributions, collaboration across teams, and a commitment to coaching rising technical leaders within a hybrid work setup.

Qualifications

• 3+ years leading software engineering teams.
• Strong software engineering fundamentals and ability to contribute hands-on.
• Experience defining technical direction and planning roadmaps.
• Familiarity with agile development practices.
• Commitment to coaching and mentoring engineers and leaders.
• Ability to align engineering work with product goals.

Responsibilities

• Lead strategy, execution, and technical development of AI-driven security workflows.
• Mentor a team of 3–5 software engineers and support their growth.
• Define quarterly roadmaps in partnership with product management and engineering leadership.
• Oversee the development of an SDK, execution environment, and predefined workflows.
• Collaborate with platform, infrastructure, and security research teams to deliver scalable workflow capabilities.

Skills

People management

Technical leadership

Roadmap planning

Agile processes

Cross-functional collaboration

Job description

Accountabilities:

In this role, you will lead the strategy, execution, and technical development of AI-driven security workflows while fostering an environment where engineers can grow and deliver high-quality solutions.

• Lead and mentor a team of 3–5 software engineers, supporting their professional development, technical growth, and ability to take on increasingly complex responsibilities.
• Define the team's strategic direction and develop a quarterly roadmap in partnership with product management and engineering leadership.
• Establish clear objectives and milestones, ensuring the team makes consistent progress toward short-term deliverables and long-term product goals.
• Oversee the development and evolution of an SDK for composing operations, an execution environment for running workflows, and a collection of predefined workflows.
• Guide the integration of traditional code security scanning tools and large language models to improve vulnerability detection, validation, and remediation.
• Make hands‑on technical contributions to feature development while maintaining a deep understanding of the team's architecture, implementation, and challenges.
• Apply agile development principles and iterative planning practices to improve delivery, adaptability, and product quality.
• Coach senior engineers and emerging technical leaders, helping them develop the skills needed to mentor others and lead increasingly complex projects.
• Collaborate with platform, infrastructure, and security research teams to deliver reliable, scalable, and effective workflow capabilities.
• Continuously improve engineering practices, team execution, and technical decision‑making to support the evolution of AI‑native cybersecurity solutions.

Requirements:

The ideal candidate combines proven engineering management experience with strong technical judgment, a collaborative leadership style, and an interest in applying AI to complex security challenges.

• At least 3 years of experience leading software engineering teams.
• Strong software engineering fundamentals and the ability to make meaningful hands‑on technical contributions.
• Experience defining technical direction, planning roadmaps, and delivering complex projects through iterative milestones.
• Familiarity with agile development principles and practices.
• A strong commitment to coaching, mentoring, and helping engineers and technical leaders grow.
• Ability to work effectively with product management, engineering leadership, and cross‑functional technical teams.
• Strong problem‑solving and decision‑making skills, with the ability to balance strategic priorities and day‑to‑day execution.
• Expertise in at least two of the following three areas is strongly preferred:
• Public SDK or API design, development, and support.
• Data workflow orchestration technologies, such as Metaflow or Argo Workflows.
• Applying artificial intelligence to cybersecurity problems.
• Ability to communicate technical concepts clearly and align engineering work with broader product objectives.
• Willingness to work in a hybrid arrangement, attending the San Francisco office at least three days per week.

Benefits:

• Annual base salary: $197,000–$288,000 USD, depending on relevant experience, skills, qualifications, location, internal equity, and market conditions.
• Equity compensation: Equity opportunities designed to allow employees to share in the long-term value they help create.
• Potential additional compensation: Total compensation may include variable pay, depending on the applicable package.
• Competitive benefits: A market-aligned benefits program designed to meet or exceed local market standards.
• Location-specific support: Benefits tailored to local requirements and norms, with details provided through the benefits program.
• Fair and transparent compensation practices: Internal salary bands informed by market data and regularly reviewed to support consistent, competitive pay.
• Hybrid work environment: A combination of in‑office collaboration and flexibility, with at least three days per week expected in the San Francisco office.
• Inclusive workplace culture: A respectful environment that values diverse backgrounds, experiences, and perspectives.