Manager, Support Engineering (AMER)

Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas, Cloud Manager, and Compass. Join our team and be at the forefront of innovation and creativity as we scale cloud deployments for our customers. We are looking to speak to candidates who are based in Toronto for our hybrid working model. Life in MongoDB Technical Services As part of the Support organization, you will be directly interfacing with our largest customers and their most difficult problems. There will almost certainly be sweat. But don’t worry – you’ll have time to prepare before you take on your first escalation. The limits of your understanding will constantly be pushed, and you’ll be challenged to grow. Underlying it all is the fuel that drives our team: customer obsession. We keep mission-critical deployments online, recover from high-pressure incidents with grace and humility, become trusted advisors, and work so closely with our customers that they would swear we were part of their team. Role scope: This is a technical Team Lead role rather than a traditional people-manager role. The Lead is expected to provide day-to-day technical and operational leadership, while formal personnel decisions remain with the manager. As the Cloud Support Team Lead, you will: Lead and mentor a small, distributed team as a hands-on technical player-coach Spend approximately 50% of your time directly supporting customer issues, complex cases, escalations, and technical investigations. Own frontline service quality by monitoring queue health, case and chat aging, diagnostic quality, staffing coverage, and workload allocation Lead high-visibility customer escalations and incidents, coordinating Engineering, Product, Support Operations, and other stakeholders Turn recurring customer problems and support trends into pr

POSITION SUMMARY Natera is seeking a Data Privacy Manager to support the operationalization and continuous improvement of enterprise privacy capabilities that enable responsible, compliant, and scalable innovation across the organization. This is an individual contributor role that reports to the Director, Data Privacy and partners with cross-functional teams to help embed privacy principles throughout the lifecycle of data, technology, and innovation initiatives. This role helps implement scalable solutions that improve privacy operations and visibility into data use. In addition to core privacy responsibilities, this person will contribute to the evaluation of new initiatives and support strategic projects and emerging regulatory requirements across commercial, clinical, and research environments. This role requires a solid foundation in healthcare privacy, clinical research, and technology-enabled healthcare, coupled with the ability to translate regulatory, ethical, and operational requirements into practical solutions that support the business. Regarding culture, we seek people who demonstrate Natera's values, enjoy solving complex problems, empower others to thrive, lead by example, and adapt their playbook when necessary. RESPONSIBILITIES: Privacy Management & Governance Support the operationalization of enterprise privacy governance frameworks that enable responsible, compliant, and scalable use of information Partner with Legal, Regulatory, HealthCare Compliance, Security, and AI and Data Governance teams to align privacy requirements with broader governance and risk initiatives Help apply scalable decision-making frameworks and governance processes that support business objectives while maintaining patient trust and regulatory compliance Advise business and technology partners on privacy requirements, emerging risks, and evolving regulations Privacy Technology, Product & Engineering Partnership Support the continuous

Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities Driving an ambitious vision for AI/ML that benefits our users Setting the technical & process direction for the team based on business goals Brainstorm and coordinate product integrations with partner teams Proposing new ideas and building prototypes Be an integral part of a larger ML community internally & externally Hire & develop a world-class team to deliver high-quality ML systems. Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You a

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the role As Engineering Manager for the Marketing & Privacy Engineering (MPE) team, you’ll lead two engineering pillars - Marketing and Consumer Privacy Engineering - under a shared mission to build trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. What you’ll do Lead, develop, and support engineers across the Marketing and Consumer Privacy pillars, creating an environment where they can do their best work, grow their craft, and take on greater responsibility. Establish and continuously improve a shared operating model for MPE that unites Marketing and Privacy around a common mission while creating clarity around each pillar’s priorities, technical ownership, decision-making, and ways of working. Partner closely with the Product Manager and technical lead for each pillar to translate product and business priorities into clear engineering plans and deliver against their respective roadmaps while maintaining alignment to MPE’s shared mission. Guide engineering strategy and execution across Logged-Out Web, web experimentation, marketing integrations, attribution and measurement, consent, privacy experiences, and consumer data collection. Build strong partnerships across Engineering, Product, Marketing, Privacy, Legal, and adjacent engineering teams, establishing clear ownership and relia

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. We are looking for a Manager, Sales Engineering, based in Canada, reporting to our Senior Director, Sales Engineering. You will lead and grow the sales engineering organization for the core portfolio, including the Gen AI market, across the region in the US. You will align closely with GTM Sales Leaders, Product Management, and Engineering to execute strategic solutions and close deals for customers and partners. What you’ll do (Role Expectations) Recruit, mentor, and develop the sales engineering team Refine and scale core sales engineering processes including discovery, technical qualification, and proof-of-concept Partner with sales leadership and clients to design and present business solutions that drive revenue growth Work within a matrixed environment to promote and support the Zscaler portfolio through value-based selling Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the pa

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta Secures AI Team The Okta Secures AI Team is building the future of digital identity management. The way companies are using agents and allowing them access is undergoing a fundamental shift, enabling teams to move fast while staying secure. Our North Star is clear: To get AI right, you have to get identity right. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic era. As organizations rapidly deploy AI, these non-human entities are acting with access to critical tools, often bypassing traditional perimeters and creating a 'Shadow AI' crisis. Our mission is to move identity from a reactive gatekeeper to a unified control plane, transforming AI risk into business ROI. We are tackling this by implementing a comprehensive four-pillar maturity model: Discover, Onboard, Protect, and Govern. We are driving innovation by defining the standards for Agentic Identity—including pioneer work with securing AI Agents and support for protocols like MCP. You will be helping us build the infrastructure that allows enterprises to scale AI safely, ensuring every access decision—whether made by a human or an automated agent—is authenticated, authorized, and audited at scale. We are a diverse team of engineers, product managers, and designers who are bringing Okta’s expertise in identity to define the future of Agent Identity management, focusing on enablement while staying secure. About the role &n