MongoDB’s Developer Productivity organization exists to help engineers build and deliver high-quality software through a highly
effective software development process and a strong foundation of shared tools and services.
We are looking for a Senior
Director to lead our Pipeline team. This role is tasked with bringing together the major systems and experiences that power
software delivery at MongoDB. The team’s mission is to provide a reliable, scalable, secure, and effective platform for ensuring
fast software deployability, leveraging AI native approaches.
We are open to in-office, flexible or remote hiring across
Canada.
The Pipeline organization sits within Developer Productivity and is responsible for the systems,
services, and user experiences that define MongoDB’s software delivery ecosystem. This is mission-critical infrastructure
operating at substantial scale and supports a variety of software product delivery needs. Success in this role requires excellent
product judgment for developer-facing experiences, strong systems and platform leadership, and the ability to align multiple teams
around a cohesive strategy.
We’re looking for a senior engineering leader who can unify
product-minded developer tooling with deep platform and operational excellence. The right candidate is passionate about developer
productivity and has a track record of leading managers and teams through organizational growth, technical complexity, and
cross-functional change.
They should be comfortable owning a broad portfolio that spans developer experience, reliability
and scale, release systems, telemetry, and operational health. They should also be able to work effectively with senior leaders
and partners across engineering and product to set direction, allocate resources, and make trade-offs that balance near-term
delivery with long-term platform function.
The right candidate for this role will
software engineering experience building and operating production systems; experience in developer tooling, platform engineering,
observability, or data engineering is a strong plus
bench of leaders in a geographically distributed organization with a track-record of success in hiring, performance management,
and fostering a team growth mindset
ideally including CI/CD, release, or other developer infrastructure platforms with large scale workloads
judgment across both developer-facing product experience and underlying platform architecture, including user workflows, system
reliability, operational insight, and service scalability
infrastructure-as-code principles; experience with Kubernetes and AWS is especially valuable
telemetry, metrics, and analytics to improve developer productivity and operational health
familiarity with software supply chain and release concerns, including reliability, security, and operational rigor
able to define strategy and drive execution in ambiguous environments with broad organizational impact, acting as a trusted
escalation point for complex technical and organizational trade-offs
What you will do
strategy, execution, and operating model for MongoDB’s end-to-end software delivery pipeline across continuous integration and
release enablement functions
cross-functional stakeholders, balancing urgent delivery needs with long-term platform investments
of internal engineering users while also raising the bar on reliability, scalability, security, and operational efficiency
portfolio
clarity around expectations, accountability, and career development
trade-offs and cross-functional issues, ensuring decisions are aligned to company priorities and understood in terms of their
downstream consequences
Positive expectations
and inclusive culture while setting a high bar for accountability and execution
written communication to navigate a global organizational structure that utilizes a mix of synchronous and asynchronous
engagement
strengthen MongoDB’s software development ecosystem
structure, and knows when to optimize locally versus for the broader business
engineering success, not just the direct organization they lead
Success measures
have built strong relationships with your managers and key partners, assessed the current pipeline portfolio, and identified the
highest-leverage opportunities across reliability, developer experience
direction and roadmap for the Pipeline organization, advising on structure and long-term investment choices, and operating as a
trusted escalation point for major delivery and platform trade-offs
are delivering measurable, sustained improvements in MongoDB’s software development velocity
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined
the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified
data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy
workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed,
multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over
67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important
applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other,
and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re
committed to developing a supportive and enriching culture for everyone. From employee affinity
groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support
them along every step of their professional and personal journeys. Learn
more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to
providing any necessary accommodations for individuals with disabilities within our application and interview process. To request
an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req
AI is used to
review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves
forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to
each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one
part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity,
participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave,
fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup
child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the
benefits in this paragraph are only applicable to candidates based in Canada.
MongoDB’s base salary
Fler lediga tjänster som liknar denna i och runt Alberta; British Columbia; Manitoba; Nova Scotia; Ontario; Quebec