Manager, Product Analytics

Calendly

WHAT’S IN IT FOR YOU?  Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey. ABOUT THE TEAM & OPPORTUNITY  What’s so great about working on Calendly’s Engineering team?  We make things possible for our customers through impactful innovation. Why do we need you? We're seeking a Senior Engineering Manager for our Data Platform with deep expertise in people leadership, technical delivery, and organizational development. This role sits at the core of our Data, AI, and Infrastructure organization. Reporting directly to the VP of Data, you'll own the development and expansion of the infrastructure and data platforms that enable all Calendly teams to leverage and rely on trusted data. Your work will enable a best-in-class scheduling experience and help millions of users host better meetings. A DAY IN THE LIFE OF AN ENGINEERING MANAGER AT CALENDLY As a Senior Manager, Data Platform, you will have the opportunity to lead the strategy, execution, and evolution of Calendly’s modern data platform. This leader will oversee the systems, architecture, and engineering practices that enable reliable, scalable, secure, and self-service access to data across the company. This is a highly cross-functional leadership role that partners closely with various product Engineering teams, Product management, product Analytics, Security, Infrastructure and AI/ML teams.  This position spans Data Engineering and Analytics Engineering functions - maintaining technical excellence and uniformity across our services. Your team will manage our Enterprise Data Warehouse - collecting, processing, and overseeing data that drives analytics, operations, and strategic decisions throughout the organization. In addition to the internal warehouse, you'll also oversee Calendly's near-real-time data systems that serve millions of users each day. This requires close collaboration with product engineering teams and internal analytics groups to grasp their requirements, explore their specific scenarios, and genuinely comprehend what drives their success. Ideal candidates provide direction amid uncertainty and can independently investigate and identify solutions. If selected for this position, you'll own the mentoring, development, and strategic planning for your team's growth. At Calendly, you'll have the chance to significantly influence the quality and evolution of a product used by millions. ON A TYPICAL DAY, YOU WILL BE WORKING ON: * Define and execute the long-term strategy for Calendly’s data platform and ecosystem. * Build a scalable, reliable, and cost-efficient platform that supports analytics, experimentation, operational reporting, machine learning, and AI use cases. * Drive modernization initiatives across data ingestion, transformation, orchestration, governance, observability, and serving layers. * Build internal platform capabilities that empower analysts, data scientists, ML engineers, and product teams. * Improve data discoverability, governance, lineage, and quality. * Drive adoption of self-service tooling and standardized workflows. * Recruit engineers and people leaders to expand both new and existing teams across the organization, with responsibility for all hires joining the squad * Address challenges that accelerate progress for the entire engineering organization * Guide, develop, and integrate new engineering team members * Drive the professional growth, engagement, and performance of engineers on your team * Guarantee the systems under your team's ownership are performing effectively, meeting service level commitments, and prepared to scale * Anticipate upcoming technical requirements and develop strategies to address them * Deliver feedback and direction to support our continuous growth and expansion WHAT DO WE NEED FROM YOU? * 7+ years experience leading a data and analytics engineering teams * 10+ years of overall development - especially relating to Data Platforms and Products (SQL, Python, Java, Scala, or strongly typed languages preferred) * Strong understanding of Data warehousing, Batch and streaming data pipelines, Data orchestration and workflow management, Data modeling and transformation frameworks, Metadata, lineage, and governance systems, Data observability and reliability practices * Ability to balance technical excellence with business outcomes. Strong systems thinking and prioritization skills. * Deep proficiency with data application development and building scalable architecture for enterprise grade data warehouses and streaming engines * Ability to be a hands on contributor when need be with a focus on enablement * Experience planning and leading development efforts on large projects * Previous experience leading and mentoring teams and driving them toward big goals with consistent execution * You are an excellent communicator who can succinctly explain deep technical concepts * Experience leading Agile/Scrum ceremonies * Previous experience working within a balanced engineering and product team * Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time Tier 1 Salary Hiring Range $268,260—$325,068 USD Tier 2 Salary Hiring Range $245,905—$297,979 USD Tier 3 Salary Hiring Range $223,550—$270,890 USD The ranges listed above are the expected annual base salary for this role, subject to change. Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity. Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits. Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows: * Tier 1: San Francisco, CA, San Jose, CA, New York City, NY * Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA. * Tier 3: All other locations not in Tier 1 or Tier 2 If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please let your Recruiter know when first connecting with them. Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Delaware, Hawaii, Idaho, Iowa, Montana, Nebraska, North Dakota, Rhode Island, South Dakota, and West Virginia, you will not be eligible for employment. Note that all individual roles will specify location eligibility. All candidates can find our Candidate Privacy Statement here Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection This role may require occasional travel for company events, team collaboration, or offsites.

Twilio

Who we are  At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio. Join us as our next Staff Product Manager - Enterprise AI on Twilio's Enterprise AI team. About the job Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM corporate functions (Finance, HR, Legal, etc.) Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation.  As Staff Product Manager for Enterprise AI, you will lead the product strategy and execution for AI-powered solutions across both GTM and Corporate Functions. You'll build intelligent agents, automation workflows, and operational tools that transform how Twilio works across Sales, Support, Operations, Finance, Legal, and HR - from sales productivity and customer support efficiency to financial operations, legal contract management, and HR processes. You will be responsible for understanding the unique workflows, pain points, and opportunities across these diverse business functions, then designing and delivering AI-powered products that drive measurable business impact. This includes everything from AI assistants that help sales teams close deals faster, to support agents that deflect cases and accelerate resolution, to compliance tools that automate manual investigations, to financial automation that streamlines invoice processing, to legal tools that accelerate contract review, and HR agents that streamline recruiting and onboarding. You'll work closely with GTM and Corporate Function leaders, operations teams, engineering, data science, and AI/ML teams to deliver a cohesive product vision that scales across multiple use cases while leveraging our unified Enterprise AI platform. Responsibilities As a Staff Product Manager, you will: PRODUCT STRATEGY & ROADMAP * Define and execute the product roadmap for Enterprise AI spanning GTM functions (Sales, Support, Operations) and Corporate Functions (Finance, Legal, HR). Establish clear priorities, milestones, and success metrics that align with business objectives and drive measurable improvements. * Lead cross-functional product development across multiple business domains, balancing the needs of diverse stakeholders within a unified platform strategy. GTM AI CAPABILITIES * Build AI-powered solutions across Sales, Support, and Operations functions that drive measurable GTM improvements. This includes sales productivity tools (intelligent account insights, opportunity management, propensity-to-buy signals, automated CRM workflows), support automation (case deflection, intelligent triage, agent assistance, knowledge retrieval), and compliance/risk operations (automated user vetting, fraud detection, compliance investigation dashboards, workflow orchestration for onboarding and audits). CORPORATE FUNCTIONS AI CAPABILITIES * Build AI-powered solutions across Finance, Legal, and HR functions that transform operational efficiency. This includes financial automation (invoice/billing processing, expense management, automated reconciliation, forecasting and analytics), legal operations (contract review and generation, clause extraction, compliance tracking, risk assessment tools), and HR productivity (recruiting automation, candidate screening, onboarding workflows, employee self-service, benefits administration). PLATFORM INTEGRATION & EXECUTION * Leverage the Enterprise AI platform to build agentic solutions using multi-agent architecture, knowledge retrieval, workflow automation, and LLM-powered reasoning tailored to each business function. * Integrate with enterprise systems including Salesforce, Zendesk, Workday, NetSuite, DocuSign, compliance platforms (Sift, etc.), contract management platforms, HRIS systems, and internal Twilio tools to deliver seamless, embedded AI experiences. * Partner with Engineering, Data Science, and AI/ML teams to operationalize models, build production-grade products, and ensure scalability, reliability, and performance across all use cases. STAKEHOLDER MANAGEMENT & ADOPTION * Collaborate with business leaders across GTM and Corporate Functions to understand their strategic priorities, operational challenges, and success metrics. Translate these into product requirements and clear roadmaps. * Drive adoption and enablement by working directly with end users, training teams on new AI capabilities, gathering feedback, and iterating on product experiences. * Measure and communicate impact through clear metrics on productivity gains, efficiency improvements, cost savings, and business outcomes driven by AI products. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! REQUIRED: * 7+ years of product management experience at fast-paced technology companies, with at least 3 years in GTM functions (sales operations, customer support, compliance/risk operations) and/or Corporate Functions (finance operations, legal tech, HR tech) * Deep understanding of at least two of the following domains: sales workflows and CRM systems, customer support operations and help desk platforms, compliance/risk operations and fraud detection systems, financial operations and ERP systems, legal operations and contract lifecycle management, HR operations and human capital management systems * Proven ability to build products that serve diverse user personas and use cases within a unified platform strategy * Strong technical fluency with AI/ML concepts, agentic systems, workflow automation, and conversational AI * Proficiency with SQL and ability to extract, analyze, and interpret data independently to inform product decisions * Excellent stakeholder management skills with experience influencing senior leaders and driving cross-functional alignment * Demonstrated success delivering measurable business impact through product innovation and operational efficiency * Bachelor's degree or equivalent experience DESIRED: * Experience with AI-powered sales tools, support automation platforms, compliance/risk management systems, finance tools, legal tech platforms, or HR automation systems * Knowledge of enterprise platforms including Salesforce, Zendesk, Workday, and other enterprise systems * Familiarity with sales methodologies (MEDDPICC, etc.), support best practices (ITIL), operational excellence frameworks, finance best practices (financial close, procurement, FP&A), legal operations (contract management, matter management), and HR processes (recruiting, onboarding, HRIS administration) * Background in building internal tools, operational dashboards, or productivity platforms for business functions * Experience with recommendation systems, predictive analytics, ML-driven insights, document processing, intelligent document understanding, or knowledge management systems * Track record of driving adoption of new products across large, distributed teams Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What we offer There are many benefits to working at Twilio, including things like competitive pay, generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: * Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400. * Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640- $205,800. * Based in the San Francisco Bay area, California: $182,960 - $228,700. * This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 07/27/26, but may change based on business needs.  Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Engine

ABOUT ENGINE At Engine, we’re transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented — we’re here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That’s why we’re building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place. To make this vision real, we’re looking for exceptional, mission-driven people to help redefine how businesses manage and experience travel. More than 30,000 companies already rely on Engine to support over 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine-only rates, industry-leading rewards, and intelligent automation to help businesses save money while delivering world-class personalization and convenience. Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest-growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In’s Best Places to Work. YOUR MISSION We are seeking a Senior Product Data Analyst to join the Omni product team. Omni is Engine's hotel booking infrastructure product, built for external companies that want to embed hotel booking directly into their own platform. It delivers Engine's full inventory, pricing, payments, and support through two integration paths: Omni Swift, a low-code hosted storefront that gets partners live in days, and Omni Halo, a full API for companies that want to own the complete booking journey from search to payment. With 1M+ properties across 185+ countries and 30M+ hotel nights already processed on Engine's underlying infrastructure, the data layer here is genuinely rich and complex. Data is a core competency of Engine, and this role sits at the intersection of product development and analytical rigor. You will be embedded directly in the Omni product org, working alongside product managers, engineers, and designers to shape how Omni evolves. This is a high-autonomy role for someone who doesn't wait to be asked, you'll bring insights to the table before anyone thinks to request them, design and run experiments that validate product bets, and translate booking-scale data into decisions the team can act on. WHAT YOU'LL DO * Design, run, and analyze A/B tests and product experiments across the Omni funnel — from hypothesis definition and instrumentation validation through results analysis and recommendation. * Proactively surface insights to product managers: anomalies in booking behavior, partner conversion degradation, funnel drop-offs, and pricing patterns that signal an opportunity — before anyone asks. * Own deep visibility into the Omni search-to-booking funnel; identify where and why partners and travelers drop off, model the impact of product changes on conversion, and connect funnel performance to revenue outcomes. * Build and maintain analytics that track partner performance across Omni Swift and Halo — activation rates, booking volume, revenue share, API health, and feature adoption. * Analyze how real-time pricing, inventory availability, and AI-driven pricing signals affect search quality, conversion, and revenue; surface patterns that inform pricing strategy and product decisions. * Monitor and analyze API and product health metrics — latency, search response quality, error rates, content deduplication effectiveness — and translate technical signals into product and business implications. * Partner closely with Omni PMs as an embedded analytical resource: contribute to PRDs with data, challenge assumptions with analysis, and ensure the analytical voice is present in every product decision and roadmap prioritization. * Leverage advanced SQL to explore large, complex datasets — booking events, search logs, pricing signals, and partner activity — and uncover key insights at scale. * Independently investigate open-ended product and business questions; identify patterns, quantify opportunities, and deliver actionable recommendations to product and senior leadership. * Identify instrumentation gaps and partner with engineering to ensure the right events are captured; collaborate with analytics engineering to build clean, reusable data models that enable self-service analysis across the team. WHAT WE'RE LOOKING FOR * Bachelor's degree in Data, Economics, Statistics, Computer Science, Operations Research, or a related quantitative field. * 4+ years of relevant experience in product analytics or data analytics, with meaningful time spent embedded in a product or engineering org. * Strong SQL skills with experience building complex queries across large datasets; hands-on experience with Snowflake. * Experience with HEX or a comparable collaborative notebook environment for analysis and stakeholder delivery. * Solid grounding in experiment design and statistical analysis — A/B testing, power analysis, significance testing, and awareness of common pitfalls like novelty effects and sample ratio mismatch. * Experience analyzing conversion funnels, user journeys, and event-based behavioral data; comfortable thinking in cohorts, sessions, and sequences. * Strong communication skills with the ability to translate complex analytical findings into clear, actionable perspectives for PMs and product leadership. * Inquisitive mindset with a bias toward proactive investigation — you dig into the 'why' behind performance trends without being prompted. * Experience with a B2B API product, developer platform, marketplace, or technical product where the end user is a partner or business is a plus. * Familiarity with dbt or experience working closely with analytics engineering teams to build reusable data models is a plus. WHY JOIN US * Work on a genuinely complex data problem — booking events, pricing signals, API performance, and partner behavior at scale across 1M+ properties and 30M+ hotel nights processed. * Be embedded in a product team where your analysis directly shapes the roadmap — not just reports on it. * Join a data-driven culture that values curiosity, ownership, and continuous improvement, with real opportunities for growth and impact. Compensation Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process. Base Pay Range $114,665—$158,700 USD The Engine Edge: Perks & Compensation We believe in rewarding great work with great benefits: * Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. * Benefits: Check out our full list at engine.com/culture. * Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed. Perks and benefits may vary based on employment type, location, and more. Ready to Build the Future of Work Travel? Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.