Engineer

Engineer 3, Business Systems (CPQ)

Mongodb

ABOUT TEAM The CRM Technologies Team plays a critical role in optimizing our sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce and Quote-to-Cash technologies, the team ensures that business users have the tools, automation, and operational support needed to effectively manage quoting, pricing, approvals, and downstream business processes. With deep expertise in Salesforce development, CPQ, integrations, and platform operations, the team continuously enhances the CRM ecosystem to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Finance, Deal Desk, and Engineering to deliver scalable, secure, and reliable Quote-to-Cash solutions. This position supports systems and data subject to FedRAMP and other U.S. government compliance requirements. Due to the nature of the work, U.S. citizenship is required. This role will be based remotely in the United States. ROLE OVERVIEW We are looking for a CPQ Engineer III to design, build, and support core capabilities in our Configure–Price–Quote (CPQ) stack that power how our GTM teams sell and price MongoDB offerings. As a senior individual contributor, you will own end-to-end delivery of features across configuration, pricing, discounting, approvals, and quote generation, working closely with Product, Deal Strategy, RevOps, and Sales. You will translate business requirements into high-quality technical solutions on Salesforce CPQ and related platforms, spanning configuration, custom development (Apex/LWC/Flows), and integrations with downstream systems. This role is hands-on and delivery-focused: you will be responsible for implementing well-structured, testable solutions, improving performance and reliability of existing CPQ flows, and contributing to shared patterns, frameworks, and best practices within the CPQ & RevOps engineering team. WHAT YOU’LL DO * Design, build, and support Salesforce solutions across product modeling, pricing, quoting, approvals, amendments, and renewals * Configure and enhance CPQ capabilities including product rules, price rules, bundles, product options, quote templates, discounting, and approval workflows * Partner with Sales Operations, Revenue Operations, Finance, and Deal Desk to understand requirements, identify process gaps, and deliver scalable business solutions * Develop and maintain Salesforce solutions using Apex, Lightning Web Components, Flows, SOQL, and platform APIs to support related processes * Build and support integrations between Salesforce and external systems such as ERP, billing, payment, contract, and other enterprise platforms * Participate in technical design, story grooming, sprint planning, testing, code reviews, release management, and production deployments * Troubleshoot and resolve issues across CPQ configuration, pricing logic, automation, integrations, and system performance * Support documentation, UAT, regression testing, and user enablement to improve adoption and platform reliability * Ensure solutions align with security, data governance, and Salesforce platform best practices * Leverage AI-powered engineering tools such as Cursor, Claude Code, Agentforce, GitHub Copilot, and similar capabilities to improve productivity, analysis, troubleshooting, and documentation, while using sound judgment around security, accuracy, and responsible AI usage RESPONSIBILITIES * Technical Delivery: Translate complex business strategies into scalable technical solutions on Salesforce CPQ, utilizing a mix of declarative configuration and custom development (Apex, LWC, and Flow) * System Architecture: Design and implement robust integrations between CPQ and downstream systems (ERP, Billing, Telemetry) to ensure data integrity across the Lead-to-Cash lifecycle * Engineering Excellence: Drive high standards for code quality by implementing testable, modular solutions and contributing to shared frameworks and CI/CD best practices * Performance Optimization: Proactively identify and resolve bottlenecks in existing CPQ flows, improving calculator speed and user experience for a global sales force * Mentorship & Influence: Lead peer code reviews and contribute to the team’s technical playbook, fostering a culture of continuous improvement within the CPQ & RevOps engineering organization MINIMUM REQUIREMENTS * Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience * 6+ years of Salesforce development experience, including strong hands-on expertise in the Salesforce platform * Good understanding of Quote-to-Cash processes, sales workflows, and Salesforce best practices * Hands-on experience with Apex, Lightning Web Components, Flows, SOQL, and REST/SOAP APIs * Experience with product modeling, pricing rules, quoting workflows, approvals, amendments, and renewals * Experience integrating Salesforce with external systems such as ERP, billing, payment, or other enterprise platforms * Familiarity with Agile/Scrum, CI/CD, version control, and Salesforce release practices * Strong understanding of Salesforce security, data governance, and implementation best practices * Strong analytical, troubleshooting, communication, and collaboration skills * Salesforce CPQ Specialist and Salesforce Platform Developer I or II certifications required PREFERRED QUALIFICATIONS * Working knowledge of Salesforce Billing and its underlying data model * Experience with Salesforce DX, Copado, Gearset, Git-based workflows, or similar DevOps tooling * Familiarity with Visualforce, HTML, JavaScript, and CSS * Experience preparing training materials, supporting UAT/regression testing, and guiding business users through solution adoption * Practical familiarity with AI-powered and agentic tools such as Cursor, Claude Code, Agentforce, and similar platforms, with the ability to use them thoughtfully to improve delivery speed, analysis, documentation quality, and engineering effectiveness SUCCESS MEASURES * In 3 months, you will: Develop a strong understanding of MongoDB’s CPQ implementation, product and pricing structure, Quote-to-Cash flows, and stakeholder processes * In 6 months, you will: Successfully deliver meaningful enhancements across Salesforce CPQ, support key pricing and quoting workflows, and become a dependable contributor to ongoing QTC initiatives * In 12 months, you will: Become a trusted technical SME for Salesforce CPQ and related Quote-to-Cash processes, helping drive scalable improvements across pricing, approvals, renewals, amendments, and downstream integrations 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. REQ ID: 2273466769 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, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $101,000—$198,000 USD

Engineering - Internal AI Transformation

ElevenLabs

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: * ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. * ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. * ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK * High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. * Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. * AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. * Excellence everywhere: Everything we do should match the quality of our AI models. * Global team: We prioritize your talent, not your location. WHAT WE OFFER * Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. * Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. * Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. * Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. * Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. * Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. The role / impact As an Internal AI Engineer at ElevenLabs, you'll be embedded at the frontier of how we scale - acting as a forward-deployed engineer across our GTM, Operations, and Finance teams. You won't just build tools; you'll co-design and ship agentic AI workflows that eliminate manual toil and fundamentally reshape how our people operate. Your impact goes beyond the code. You'll own high-stakes automations from discovery to production, acting as a technical partner to internal teams. The patterns, guardrails, and tooling you define will become the blueprint other teams reach for - the standard for how ElevenLabs harnesses AI safely and at speed. The team / how we work You'll join a lean, high-velocity team with a shared obsession: turning broken, manual processes into elegant automated systems. We move fast through rapid experimentation, work closely with operators and business owners to uncover the real problem, and ship pragmatic solutions without waiting for perfect specs. What you'll actually be working on * Designing and iterating on AI agents and workflow orchestrations using tools like ElevenAgents, Claude, and n8n. * Integrating AI systems with our core business stack - Salesforce, Slack, Ashby, and more * Building reusable automation services, patterns and shared templates that multiply the output of every team you touch * Owning experiments end-to-end: spotting the opportunity, building the solution, and measuring the impact * Developing evaluation and monitoring frameworks so our AI-native workflows are reliable, auditable, and safe What we're looking for * Proven experience building and shipping automations or applications in production - you know what it takes to go from fuzzy business pain to something real teams depend on * AI-First Instincts: Strong familiarity with LLM capabilities, prompting strategies, RAG patterns, and a genuine passion for building agentic workflows. * Deep Backend Expertise : Strong Python and SQL and system design patterns (APIs, webhooks, orchestration layers) * A systems-thinking mindset : you design with security, auditability, and blast radius in mind from the start * Builder and AI-First instincts: you don't wait to be told what to build - you spot the pattern, propose the fix, and ship it. * Infra & DevOps Instincts: Hands-on experience operating cloud infrastructure (GCP preferred), Kubernetes, Docker, and enterprise authentication flows LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. Specific teams may have specific location preferences. #LI-Remote

Engineering Manager, Marketing Technology - Segmentation Platform & Insights Platform

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Marketing Technology team’s vision is to drive long term sustainable growth for the Airbnb community. Our mission is to build a best-in-class agentic system, and capabilities to support the growth of all Airbnb products, current and future. We achieve this by delivering highly personalized and relevant content and product experiences to the Airbnb community, both on and off of the Airbnb platform. The north star is full autonomy - where AI identifies opportunities, creates campaigns, personalizes experiences, and optimizes outcomes with minimal human-on-the-loop intervention. We are progressing along a deliberate maturity curve: AI assisted → agentic → autonomous, with human-in-the-loop controls at every stage to ensure brand safety, quality, and compliance. The platform deeply integrates with the Airbnb product, understanding the customer journey and enabling differentiated customer engagement experiences to drive product growth.  The platform also powers digital marketing channels including landing pages, email, push, SMS, and digital advertising, as well as the machine learning/AI and data platforms that feed into the management and optimization of these channels. You'll lead two closely partnered teams: the Segmentation Platform, which owns the audience infrastructure used across every marketing surface at Airbnb, and the Insights Platform, which provides the observability and analytics layer that marketing teams rely on to understand campaign performance and drive decisions. Both teams work hand-in-hand with a shared Product Manager and collaborate deeply with Communications, Orchestration, Delivery, and Growth Data Platform teams. The Difference You Will Make As the Engineering Manager for Segmentation and Insights Platform, you will be the primary technical leader spanning two high-impact platform teams. You'll set the technical direction, own the roadmap execution, and build the kind of team culture where engineers grow and do the best work of their careers — including through deep, genuine adoption of AI-native engineering practices. The Segmentation Platform is in the middle of a major evolution — building a near real-time customer segmentation architecture, on-the-fly targeting, new entity types, and deeper data infrastructure integrations. The Insights Platform is extending into AI/ML-driven anomaly detection and trend analysis. Critically, both platforms are beginning to incorporate autonomous agent pipelines that handle complex, multi-step workflows at scale — and you will be the leader who ensures these systems are built with the rigor, reliability, and operational maturity that production-grade agentic systems demand. Your leadership will directly determine how well these platforms scale to meet Airbnb's ambitions, how confidently partner teams can depend on them, and how effectively this team leads Airbnb's broader shift toward AI-native engineering. A Typical Day * Lead weekly planning, roadmap reviews, and cross-team syncs for Segmentation and Insights Platform, keeping delivery on track and stakeholders well-informed * Run 1:1s with engineers, with intentional focus on career growth, technical skill development, and early identification of blockers * Serve as the primary engineering DRI for cross-team dependencies — fielding requests from teams across Airbnb tech. and making clear, reasoned prioritization calls * Partner with the Product Manager to sequence the roadmap  * Drive technical strategy for the Insights Intelligence Engine — Airbnb's emerging AI/ML anomaly and trend detection system — working across ML, Data Engineering, and Analytics Engineering disciplines * Oversee the design, delivery, and operational health of production agentic systems: autonomous pipelines, LLM-orchestrated workflows, and multi-agent architectures running at Airbnb scale * Champion AI-native development practices across both teams — from AI-assisted coding and review workflows to the use of agents in CI/CD, on-call response, and data quality monitoring * Own the health and operational maturity of both teams: on-call programs, incident retrospectives, SLO definitions, and runbook quality * Represent both platforms in org-wide planning cycles and contribute to the broader Marketing Technology engineering strategy Your Expertise Required * 9+ years of software engineering experience, with 4+ years in an engineering management role leading platform or infrastructure teams * Demonstrated experience managing engineers across a range of seniority levels, including early-career engineers, with a track record of meaningful career growth outcomes * Strong technical foundation in distributed data systems, backend infrastructure, or marketing/ad technology platforms — able to engage credibly in architecture and design conversations * Experience owning cross-team platform relationships: managing inbound dependency requests, negotiating priorities, and communicating commitments with confidence * Track record of delivering complex, multi-quarter technical roadmaps in fast-moving environments * Fluency in data-driven engineering practices: data pipelines, analytics infrastructure, observability, and operational excellence Preferred * Experience with audience segmentation, targeting systems, or marketing data infrastructure at scale * Familiarity with ML/AI-powered analytics systems or experience managing engineers working on applied ML workstreams * Hands-on familiarity with agent frameworks and orchestration tooling (e.g., LangGraph, CrewAI, Autogen, or similar) and practical knowledge of where these systems break down in production * Experience managing teams that own on-call rotations and production services with external SLAs * Comfort navigating the intersection of engineering, data science, and analytics engineering disciplines within a single team * Experience actively integrating AI-assisted development practices into team workflows and advocating for their adoption Your Location This role is eligible for remote work within the United States. Employees may optionally use any of our US office locations. We expect team members to be available during core collaboration hours in their time zone and to participate in occasional onsite gatherings as the team and org schedule them, typically 2–4 times per year. Our Commitment to Inclusion & Belonging Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $212,000—$265,000 USD