The Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely. 

As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way. 

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices  and data-informed decision making, this is the role for you.

Candidate Profile

• Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
• Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
• Strong understanding of DevOps culture and tooling
• Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
• Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
• Proven track record of driving technical execution and vision for organizations with 50+ team members
• Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams

Responsibilities

• Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
• Design software development systems to ensure best practices and champion industry standards
• Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
• Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
• Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth

Bonus points if the candidate has experience with:

• Strong systems fundamentals, including testing and monitoring multi-threaded systems
• Performance profiling of complex systems
• Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
• Experience supporting the development of database internals or core components for data processing systems

Success Measures

• In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
• In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
• In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
• In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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: 1273376291

We are seeking an experienced Staff Mobile Engineer to join our team. The successful candidate loves working with technology and has a proven track record of leading, building and delivering complex mobile applications. This role requires navigating ambiguity and shaping the long term direction of our mobile products.

You will work as part of our mobile team to redefine wealth management for both advisors and their clients. Our infrastructure is built with a Microservices approach and our tech stack includes React Native, with TypeScript, Node, Serverless, GraphQL, MongoDB, and AWS. 

As a key member of our Mobile team, you will be helping set the strategy for OneVests mobile applications by: (1) establishing and building patterns customer and client interactions, (2) designing and building customer and client mobile experiences, (3) building tooling, CI and releases processes that enable scalable and efficient delivery of enterprise applications to our customers.

What you’ll be doing:

• Building out the OneVest mobile application in React Native, using GraphQL APIs
• Partnering cross-functionally to collaborate on solution design, balancing technical excellence with delivery velocity
• Leading technical design and architecture of large-scale features by designing and breaking down complex epics into deliverable stories and tasks
• Continuously improving our codebase and developer experience by identifying and resolving systemic technical debt, adopting new/better practices and tools
• Owning the mobile lifecycle, from local development and automated testing to CI/CD and store deployments
• Mentoring and providing leadership through technical reviews for product stories and providing feedback to peers through code and architecture review
• Proactively managing project risks and cross-team dependencies while resolving complex technical issues and customer escalations
• Championing best practices across quality, patterns, tools and processes to ensure both OneVest and our platform scales for enterprise customers

Must Haves:

• 8+ years mobile development experience with a strong focus in React Native, and JavaScript/TypeScript
• Proven ability to architect, develop and maintain mobile applications for enterprise scale
• Experience with FastLane, Expo, App/Play stores, TestFlight, etc., for build, CI/CD, and deployment tools for react-native applications
• Proven ability to effectively contribute to technical strategy and roadmaps 
• Expertise in designing scalable and performant front end architectures integrating with complex GraphQL microservice backends
• Strong communication skills, capable of articulating complex technical decisions to a wide audience

Location: This role is open to candidates across Canada

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We are looking for a Staff Product Manager who combines deep Generative and Agentic AI fluency with hands-on building ability to own AI product outcomes end-to-end. As a Staff PM, you're accountable for initiative-level outcomes, stakeholder satisfaction, and contributing to R&P's AI product practice. You think in systems, work backwards from the customer problem, and stay relentlessly curious about what's next in AI

Enterprise clients want to deploy Agents -  moving from a promising demo to a production system that works at scale, meets security and compliance requirements, and delivers measurable business value is hard. This role owns that problem. You'll be part of a GenAI initiative within the AWS ecosystem, building the evals, tools, patterns, and reference architectures that make AI deployment repeatable.  The mindset: prove it works, test assumptions early, and document while building.

Key Responsibilities

Product Strategy & AI Vision

• Define and drive the product vision, strategy, and roadmap for GenAI solutions - with agentic AI (agent orchestration, tool use, multi-step workflows) as the primary focus - connecting AI capabilities to enterprise business outcomes
• Translate enterprise problems into structured product requirements; reframe feature requests into outcome-driven priorities with explicit tradeoffs on invest in vs. defer
• Balance near-term deployment milestones with long-term platform scalability and sustainability
• Monitor the competitive GenAI landscape and emerging agentic patterns to inform roadmap and technology decisions

Discovery & Validation

• Research how enterprise users interact with AI agents and where they lose trust; frame the riskiest assumptions as testable hypotheses and de-risk them first
• Design and run experiments - POCs, pilot deployments, scenario-based testing of multi-step workflows, edge cases, and failure recovery - to validate agentic solutions where non-deterministic output makes traditional QA insufficient
• Distill research, experiments, and competitive intelligence into clear insights that pave the path for a successful product
• Agent Design, Prototyping & Production
• Define agent behavior and prototype system prompts and tool schemas; partner with engineering on context management - summarization, working memory, and information flow across multi-step tasks
• Drive multi-model architecture tradeoffs with engineering - define the quality, cost, and latency targets that determine which model serves each step in the agent workflow
• Build AI prototypes to validate hypotheses; define human-in-the-loop boundaries and guardrails - when the agent acts autonomously, when it escalates, and how to handle non-deterministic output
• Establish agent evaluation frameworks - task completion, reasoning quality, tool selection, failure recovery, safety - and partner with engineering on production readiness (observability, drift, responsible AI, prompt versioning)
• Define success metrics at the agent level - task completion rate, cost per task (not per inference), escalation rate, time to resolution, and customer trust alongside business KPIs
• Delivery & Execution
• Own the end-to-end product lifecycle from discovery through phased rollouts; establish the metrics framework (north star, input, guardrail metrics) and report product impact to leadership
• Manage the product backlog, scope, dependencies, and risks; drive agile ceremonies and produce high-quality PRDs, product briefs, and decision logs
• Evaluate technology and platform decisions from a product perspective; create deployment playbooks, reference architectures, and knowledge transfer materials so teams sustain solutions independently
• Use AI to accelerate product work - research, analysis, prototyping, documentation - with judgment on when it needs human oversight; onboard rapidly to new domains and support team members across the initiative

Stakeholder Management

• Build trusted relationships with stakeholders and executives; serve as the go-to product advisor and primary contact for AI product direction and deployment strategy
• Partner with AWS Solution Architects and account teams to align on technical approach, service selection, and go-to-market for GenAI solutions
• Manage expectations on scope, timelines, and tradeoffs; facilitate decisions across competing priorities using data, alternatives, and clear rationale
• Frame AI capabilities and limitations for non-technical stakeholders - manage hype cycles, set realistic expectations; surface unmet needs that deepen relationships and grow the account

Required Skills

• 8-12+ years in product management, forward deployment, or solutions engineering; must have shipped AI products from prototype through production at scale
• Strong product sense - ability to identify what matters to users and the business, make prioritization calls with incomplete information, and shape products that deliver real outcomes
• Deep GenAI fluency - LLMs, RAG, fine-tuning, prompt engineering, context engineering, evals - with hands-on experience building or shipping agentic systems (planning, tool use, HITL, guardrails)
• Proven ability to prototype AI solutions using AI tools (Cursor, Claude, Copilot) to validate hypotheses and de-risk product decisions
• Experience deploying AI solutions in enterprise environments with strong technical fluency - can read code, evaluate architectures, make product tradeoffs on technical constraints, and drive scalable deployment patterns
• Exceptional communicator - clear PRDs, technical specs, and decision logs; has led AI products through full lifecycle and driven alignment with Directors, VPs, and C-level
• Comfortable operating in ambiguous, fast-moving environments where the AI landscape evolves weekly
• PM-level fluency across the AWS AI ecosystem - Bedrock, AgentCore, SageMaker, Strands, Kendra, OpenSearch, Lambda, Step Functions - to make informed product and architecture decisions

Preferred Qualifications

• Software engineering or coding background (Python, JavaScript, TypeScript)
• Agency or consulting delivery experience
• Experience in Financial Services, Healthcare, or Life Sciences industries
• Familiarity with open-source LLM ecosystem (Llama, Mistral) for flexibility and cost optimization
• Prior experience leading time-boxed discovery initiatives or technical spikes with rapid validation cycles

Why Join R&P?

You'll work at the intersection of cutting-edge AI and real enterprise impact - helping clients deploy Generative and Agentic AI solutions that change how their businesses operate. R&P gives you the variety of consulting (new problems, new industries, new tech) with the depth of a product role - you'll build, ship, and measure, not just advise. The team is collaborative, technically sharp, and genuinely invested in doing great work for clients.