The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth. With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. Role OverviewWe are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform. What you’ll do - Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations - Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions - Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support - Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an Agile environment - Drive strong engineering practices across code quality, documentation, release management, and platform governance - Identify opportunities to improve system performance, simplify architecture, reduce technical debt, and strengthen the overall Salesforce operating model - Troubleshoot complex technical and production issues and deliver sustainable, long-term fixes - Stay current with Salesforce platform capabilities, engineering best practices, and emerging technologies, and apply them thoughtfully to improve delivery quality - Leverage AI-powered engineering tools such as GitHub Copilot, Agentforce, Claude Code, Cursor, and similar capabilities to improve productivity, code quality, troubleshooting and documentation, while using sound judgment around security, privacy, and responsible AI usage Responsibilities - Develop, test, document, and deploy high-quality Salesforce solutions aligned with business needs and engineering best practices - Support enhancements, break/fix issues, and ongoing maintenance across Salesforce applications and related integrations - Investigate technical and integration issues and work closely with development, operations, admin, and business teams to resolve them effectively - Communicate clearly with stakeholders and teammates on delivery status, technical challenges, and solution options - Manage multiple priorities effectively while ensuring high-quality and timely delivery - Research new platform capabilities, prototypes, and engineering approaches that can improve the Salesforce ecosystem - Provide mentorship and technical guidance to junior engineers and administrators where needed - Build strong working relationships across teams and contribute positively to a culture of ownership, collaboration, and continuous improvement Minimum Requirements - Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field - 9+ years of experience in Salesforce development and enterprise application engineering - Strong hands-on experience with Apex, Lightning Web Components (LWC), JavaScript, Flows, SOQL, APIs, and Salesforce platform customization - Strong understanding of Salesforce architecture, governor limits, declarative automation, integration patterns, and scalable solution design - Experience with CI/CD, deployment processes, code refactoring, and performance optimization in Salesforce environments - Experience integrating Salesforce with enterprise systems using APIs, ETL tools, and automation platforms - Salesforce Platform Developer II certification strongly preferred; additional certifications such as JavaScript Developer, Advanced Administrator, Application Architect, or System Architect are a plus - Good understanding of AI-powered and agentic development tools such as Cursor, Claude Code, Agentforce, and similar platforms, with the ability to use them effectively to improve productivity, troubleshooting, documentation, and solution delivery Success Measures - In 3 months, you will: Develop a strong understanding of MongoDB’s Salesforce ecosystem, business processes, and current implementations by working closely with senior engineers and stakeholders - In 6 months, you will: Successfully deliver one or more critical Salesforce initiatives and establish yourself as a trusted technical contributor within the Sales Apps team - In 12 months, you will: Become a go-to engineer for key Salesforce solutions, build strong cross-functional partnerships, and contribute meaningfully to the scalability, quality, and long-term evolution of the CRM platform About MongoDBMongoDB 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. Insert Req ID: 1273405390

Role Description Push is looking for an experienced Full Stack Software Engineer who will be responsible for architecting, building and testing Push's internal tools and AI integrations. In this role, you will have the ability to tackle a wide range of technical challenges and make a big impact on some of the most critical aspects of our business. This role collaborates closely with our Vancouver team. The successful candidate will work 10:00am - 6:00pm local Brazil time to ensure sufficient time zone overlap. Job Duties: - Building and maintaining internal tools and automations to help our teams succeed - Helping build and scale back-end services and APIs - Working with internal teams to find and implement innovative solutions to current bottlenecks in workflows - Participating in code reviews - Writing and testing high-quality, maintainable code Qualifications - 5+ years professionally building web applications - Experience with at least one of PHP, Python, Ruby, Go, C/C++ or C# - Javascript experience - ES6, Webpack, Angular, React JS, React Native - A solid understanding of relational databases and SQL - A solid understanding of computer science concepts, e.g.: data structures, design patterns, and algorithms - You understand the importance of writing testable and maintainable code - A track record of building and maintaining highly scalable products - You are curious and innovative, consistently staying abreast of the latest technology and challenging the status quo Requirements - Bonus Skills and Qualifications: - PHP experience using Laravel or any other MVC framework - Knowledge of payroll in Canada and/or the USA - Experience integrating with AI APIs (AWS Bedrock) including using MCPs and implementing safeguards (e.g., AWS Guardrails) - Experience working on internal tools involving various teams within an organization - Experience working on a DevOps or Platform team stitching together various technologies, services, APIs, and/or languages to achieve a goal - Experience building RAG-powered features - Experience with multi-agent frameworks (e.g., CrewAI) - Previous startup experience - You are super smart and have earned a degree in Computer Science, Engineering, or equivalent work experience Benefits - Do what you love. - We believe in work that energizes you and supports your passions. - Grow yourself. - At Push, personal and professional development go hand in hand. - Make an impact. - Your knowledge and guidance will shape the success stories of businesses across North America.

Role Description We are seeking a Director/Sr. Director to lead Avalara’s Agentic Developer Experience (DX) Platform — focused on enabling developers and AI agents to seamlessly discover, understand, and integrate with Avalara’s products. This role owns the external developer experience layer, including: - Exposing documentation for agent-facing interfaces (e.g., MCP) - Documentation and knowledge systems - Interactive tooling - AI-powered integration accelerators You will partner closely with domain-focused product engineering who own APIs, MCP tools, backend systems, and the partner engineering team, ensuring these capabilities are exposed in a consistent, intuitive, and agent-friendly manner for developers and partners. Responsibilities - Agent Experience Layer - Build and evolve the external MCP-based interface and tool catalog for building integrations - Standardize how APIs and capabilities are exposed to AI agents - Define best practices for agent-tool interactions (schemas, patterns, guardrails) - Developer Portal & Knowledge Experience - Own the developer documentation platform, IA, and UX - Ensure documentation freshness and accuracy via automation (spec ↔ docs sync, drift detection) - Deliver task-oriented, cross-product integration guides - Interactive Sandbox & Exploration - Provide API exploration, testing, and simulation environments - Enable safe experimentation for developers and agents (mock + sandbox) - Sample Apps & AI Integration Kits - Build and maintain reference implementations and starter kits - Deliver agent-ready examples, prompts, and integration patterns - Define and promote “golden paths” for common integrations - Integration Acceleration (AI-first) - Develop AI-powered tools and workflows that reduce time-to-integration - Create reusable “skills” for common use cases (e.g., tax calculation flows) - Enable partners to build faster using AI-assisted approaches - DX Standards & Cross-Team Alignment - Define and drive adoption of API, MCP, and documentation standards - Partner with product teams to ensure consistent external experience - Establish versioning, deprecation, and usability guidelines - Partner Enablement & Ecosystem Growth - Lead developer onboarding and partner integration journeys - Support strategic partners with co-build and acceleration frameworks - Improve integration success rates across the ecosystem - Observability & Continuous Improvement - Define and track DX metrics (time-to-first-success, integration success rate, agent task completion) - Build feedback loops from usage, errors, and developer input - Continuously improve experience based on real-world signals Qualifications - B.S. in Computer Science, Engineering, or a related technical field - 12+ years of relevant experience in developer platforms, APIs, or DX leadership roles Requirements - Experience leading developer platforms or DX initiatives at scale - Experience building external platforms or partner ecosystems - Proven ability to influence across teams - Experience defining and driving platform standards Knowledge, Skills, and Abilities - Deep understanding of API design and developer workflows - Demonstrated experience with AI/LLM or agent-based systems - Strong data-driven mindset - Strong product and platform thinking - Proven ability to influence across teams without direct ownership - Curiosity that uncovers opportunities where none seemingly exist - Customer obsession that inspires product engineering teams to reduce debt and backlog and improve overall consistency - Hands-on leadership mindset - Roll-up-your-sleeves mindset with willingness to leverage the latest tools, demonstrate how things should be done, and raise the bar for your team and peers Benefits - In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses - Health & Wellness benefits vary by location but generally include private medical, life, and disability insurance - Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture - We have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship

• Design, implement, and iterate on the mission planner, behavior planner, and motion planner for autonomous ground support equipment operating in airport airside environments. • Drive key technical decisions across the planning stack — selecting algorithms, defining interfaces, and establishing the architecture that the team builds on. • Prototype and evaluate new planning approaches (e.g., optimization-based methods, search-based planners, learning-augmented pipelines) and bring the best ideas to production. • Collaborate cross-functionally with perception, controls, localization, and systems engineering teams to deliver an integrated autonomous driving system. • Establish and promote best practices in software development, functional safety, and systems engineering as they apply to the planning domain. • Mentor other engineers through technical guidance, code review, and design discussions.