
Mongodb · Alberta; British Columbia; Manitoba; Nova Scotia; Ontario; Quebec
MongoDB’s Developer Productivity organization exists to help engineers build and deliver high-quality software through a highly effective software development p...
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.
tooling, platform engineering, observability, or data engineering is a strong plus.
organization with a track-record of success in hiring, performance management, and fostering a team growth mindset.
developer infrastructure platforms with large scale workloads.
workflows, system reliability, operational insight, and service scalability.
especially valuable.
operational rigor.
escalation point for complex technical and organizational trade-offs.
integration and release enablement functions.
urgent delivery needs with long-term platform investments.
operational efficiency.
portfolio.
expectations, accountability, and career development.
company priorities and understood in terms of their downstream consequences.
execution.
of synchronous and asynchronous engagement.
MongoDB’s software development ecosystem.
broader business.
portfolio, and identified the highest-leverage opportunities across reliability, developer experience.
long-term investment choices, and operating as a trusted escalation point for major delivery and platform trade-offs.
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.
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.
We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in Canada. THE TEAM The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. CANDIDATE PROFILE We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. THE RIGHT CANDIDATE FOR THIS ROLE WILL HAVE * 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates * 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus * Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision * Strong customer orientation and sound judgment in finding practical, high-leverage solutions * Experience working with systems involving analytics, data pipelines, and metrics platforms * Experience with AI tools development and enablement efforts * Strong technical judgment, including the ability to evaluate tradeoffs, identify risks, and ask the right questions without needing to be hands-on in the code every day * Ability to connect observability, engineering metrics, and AI capabilities to meaningful improvements in the developer ecosystem * Excellent communication skills with engineers, peer managers, and senior leadership * A track record of building inclusive, high-performing teams where engineers can do their best work POSITION EXPECTATIONS * Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, collaboration, and continuous improvement * Improve engineering visibility and decision-making. Ensure your team delivers the systems, analytics, and reporting needed for Engineering leadership to understand the health, performance, and efficiency of the software development lifecycle * Evaluate, integrate, and build AI-enabled interfaces and tools that drive engineer productivity improvements, with a focus on measurable impact and responsible rollout * Drive the roadmap. Partner with Staff and Senior Staff ICs, TPMs, and stakeholders to define and evolve a 12-month roadmap that balances near-term delivery with long-term platform investment SUCCESS MEASURES * In the first month, understand the team structure, active projects, and stakeholder landscape. Build trust with your direct reports and identify the top execution risks * In three months, deliver meaningful improvements in at least one area, measured through adoption, reliability, or developer satisfaction, and establish yourself as a reliable partner to peers and leadership * In twelve months, complete a full performance and growth cycle for your team, define a coherent multi-domain strategy, and drive measurable improvements in engineering effectiveness and developer experience across MongoDB ABOUT MONGODB 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 ID: 2273490079 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 range for this role in Canada is: $191,000—$265,000 CAD
About Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at www.sophos.com. Role Summary We are seeking a Sr. Director of Engineering to lead our X-Ops Platform organization. The leader will be responsible for all aspects of the platform ranging from vision, strategy and roadmap to product delivery and service execution. The leader will coordinate with stakeholders to align business priorities and support engineering teams in delivering secure, high-quality software at scale using modern AI technologies. You will set strategy and standards for how we build, run, and improve our platforms and operational tooling across the engineering lifecycle - partnering closely with Product, Security, IT, and Engineering leaders. Success in this role looks like improved developer productivity, strong service reliability and resilience, clear operational governance, and efficiency in cloud and platform spend and close alignment with Sophos X-Ops goals. You bring enough technical depth to challenge and support senior engineers and architects, while spending most of your time enabling teams, aligning stakeholders, and ensuring execution against clear outcomes. You will have a strong grounding in Cyber Security, Cloud Computing and AI frameworks and development practices. You will lead and grow multiple teams and managers, fostering strong engineering practices and a culture of ownership. You will collaborate with senior stakeholders across Engineering, Product, Security, IT, and Finance to ensure platform roadmaps and operational priorities support company goals. This role is based in Abingdon UK with remote working and teams also in India and Hungary. Periodic in-person leadership and team collaboration and travel are needed.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. We are looking for a Director of Engineering to lead teams building AI-assisted engineering workflows. This role will partner with engineering leaders in infrastructure, developer productivity, security, product engineering, ads, machine learning, and senior technical leadership to make AI-native development safe, measurable, scalable, and effective across Reddit. Reddit is entering a new era of software development. AI and agentic workflows are changing how code is planned, written, reviewed, tested, and shipped. Used well, these tools can help engineers move faster with higher confidence. Used poorly, they can increase complexity, review burden, operational risk, and cost. This role will help Reddit build the path for agentic development: flexible enough for teams to experiment, opinionated enough to protect quality, and measurable enough to prove whether AI is increasing delivered value rather than just activity. Just as importantly, this role will help bring teams along for that change, building trust in new workflows and helping Reddit evolve how we build software together. WHO WE ARE The Developer Productivity organization builds the platforms, systems, and workflows that enable Reddit engineers to develop, test, review, deploy, and operate software safely and efficiently at scale. We work across infrastructure, AI tooling, developer environments, CI/CD, observability, code review, and software delivery systems to reduce friction, improve engineering effectiveness, and help teams focus on delivering impact for Reddit users. As AI and agentic workflows reshape software development, Developer Productivity is helping define how Reddit builds software in the future. We are creating the foundations for AI-native engineering: scalable platforms for LLM access and evaluation, safe agent workflows, intelligent development environments, and measurement systems that help teams understand whether new tools are improving outcomes, not just increasing activity. We partner closely with engineering teams across Reddit to build paved paths that support experimentation while maintaining the quality, reliability, security, and operational standards required to run Reddit at scale. WHAT YOU'LL DO You will lead teams across Reddit's Developer Productivity and AI portfolio, spanning agent infrastructure, AI-assisted code review, developer environments, LLM governance, developer tooling, AI workflow measurement, and software delivery automation. You will partner deeply with engineering teams as a technical leader, balancing execution, organizational alignment, technical quality, and long-term platform strategy. In this role, you will: * Lead and grow high-performing engineering teams focused on AI-native developer productivity, fostering a culture of technical excellence, ownership, inclusion, and continuous improvement. * Partner with Developer Productivity and Infrastructure leaders to translate strategy into scalable platforms and engineering roadmaps across code review, agent infrastructure, self-service LLM access, evaluation and observability systems, development environments, and safe agent workflows across the software development lifecycle. * Define and evolve the operating model for AI-native software development, including paved paths, platform adoption strategies, governance models, and engineering standards that enable safe and effective experimentation at scale. * Drive alignment across infrastructure, developer experience, reliability, security, compliance, product engineering, machine learning, and executive stakeholders. You will influence across organizations and create clarity across teams with different priorities and incentives. * Build engineering systems and organizational processes that help teams move from experimentation to durable adoption of AI-assisted workflows while maintaining quality, reliability, and operational safety. * Develop communication and enablement mechanisms that bring engineers and leaders along for the journey, including technical strategy reviews, working groups, training, documentation, rollout plans, and clear narratives that connect workflow change to business and engineering outcomes. * Build and operationalize measurement systems that distinguish real productivity from vanity metrics. Partner with engineering and data teams to define metrics such as design-to-test time, test-to-launch time, review turnaround, change failure rate, time to restore service, AI-authored code quality, AI-assisted pull request load, migration throughput, and developer satisfaction. * Drive AI governance and platform adoption in a way that preserves engineering creativity while ensuring security, cost management, privacy, compliance, and operational safety are built into the development lifecycle. * Use technical judgment to challenge assumptions, identify systemic risks, guide architectural tradeoffs, and help teams make pragmatic decisions across AI tooling, CI/CD, code review, deploy automation, developer environments, and production reliability. * Partner with senior engineering leadership on organizational planning, technical investment strategy, hiring, career development, and long-term platform evolution. WHO YOU ARE * You have 14+ years of experience across software engineering, engineering management, infrastructure, developer tools, platform engineering, AI tooling, or related technical domains, including experience leading engineering teams. * You have managed high-performing engineering teams delivering large-scale technical platforms or infrastructure with executive visibility and cross-functional dependencies. You are comfortable operating with senior leaders while still engaging deeply in technical and operational details. * You have deep fluency in developer productivity systems: CI/CD, code review, testing, deployment, observability, developer environments, internal platforms, or AI-assisted development workflows. * You understand AI and LLM-enabled software development beyond personal productivity. You can reason about agent workflows, governance, evals, telemetry, code quality, review burden, cost controls, and operational risk. * You are highly data-driven, but skeptical of shallow metrics. You know how to build measurement systems that connect workflow improvements to business and engineering outcomes. * You are an exceptional cross-functional leader and communicator. You bring people together, create clarity across organizations, build trust across functions, and translate complex technical and organizational change into clear narratives for engineers, managers, executives, and cross-functional partners. * You have led meaningful organizational change, not just technical delivery. You know how to shift behavior across teams by listening to concerns, building confidence, and making the desired path easier and more valuable than the status quo. * You care deeply about engineering quality, operational excellence, and developer experience, and you know how to balance speed with long-term maintainability and reliability. * You get things done. You are not satisfied with status reporting, process theater, or activity metrics. You deliver outcomes and help teams understand the difference between motion and impact. * You are pragmatic and iterative. You can introduce structure without slowing teams down, and you know when a paved path should be adopted through value rather than enforcement. PREFERRED QUALIFICATIONS * Experience leading developer productivity, platform engineering, infrastructure modernization, or AI tooling teams at large scale. * Experience with LLM platforms, AI-assisted development tools, agentic workflows, or AI governance in an enterprise engineering environment. * Experience building internal platforms or developer tools where success depends on trust, usability, reliability, and measurable value. * Experience leading organizational transformation, platform adoption, or engineering workflow modernization initiatives across large engineering organizations. * Familiarity with engineering productivity frameworks such as DORA, SPACE, or similar multi-dimensional measurement approaches. * Experience working in fast-moving environments where technical strategy, organizational design, and execution mechanisms are evolving at the same time. BENEFITS: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $260,800—$365,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.