Senior Technical Support Representative Jobs

We believe communication belongs to everyone. We exist to democratize phone service. TextNow is evolving the way the world connects, and that's because we're made up of people with curious minds who bring an optimistic, yet critical lens into the work we do. We're the largest provider of free phone service in the nation. And we're just getting started. Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. TextNow is building the most flexible phone service in North America. As an app-first wireless carrier, we serve ambitious, self-directed people who expect transparency, value, and freedom in how they connect, control over their phone service with no contracts, no hidden fees, and no rigid rules. And we're growing, bringing our mission and technology to an expanding suite of products. As we enter our next phase of growth, retention and lifetime value are our biggest opportunities. We are looking for a hands-on, data-driven Senior Lifecycle Marketing Manager, Retention to own the customer relationship from the first paid moment through everything that follows, and to turn retention into a core driver of engagement and sustainable revenue. Reporting to the Head of Lifecycle Marketing, you will own the post-monetization customer lifecycle: sustaining engagement, deepening monetization, preventing churn, and winning back lapsed customers. This is a senior ownership role for a retention expert. You will determine the strategy, methods, and tactics for the post-monetization lifecycle, making key decisions within your area of expertise and receiving general direction rather than task-level oversight. You'll define the strategy and roadmap for your stage of the lifecycle, own the KPIs that measure it, and build the programs that move them. If you're hands-on in an ESP (especially Braze), love digging into data, and think in stages, cohorts, and retention curves, we w

About the Team The DoorDash Air team is bringing drone delivery to reality. To make this happen, we’re building a strong electrical team to design high reliability, high power density converters, and fault-tolerant controls electronics. Come join us to build a new class of aircrafts and deploy at scale. DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We're hiring a Manufacturing Engineer to help build the process and tooling behind how our autonomous food delivery platform gets made. You'll work hands-on to bring up our first high-volume drone assembly line—applying DFA and PFMEA to new designs, building out layout and workstations, and specifying the tooling and fixtures that turn a prototype into a repeatable build. You'll spend your time on the shop floor and with suppliers and contract manufacturers, solving the real problems that come up when a line moves from prototype to production: fit and tolerance issues, process failures, tooling gaps, throughput bottlenecks. This is for someone who wants to be in the weeds of execution, who thrives in a fast-moving startup environment, and gets energy from solving hard, hands-on manufacturing problems. You'll get in at the ground floor with the chance to shape how the next generation of food delivery vehicles gets built. You’re excited about this opportunity because you will… Be our first manufacturing engineer for DoorDash Air's first mass-productio

Senior Marketing Data Analyst Location: Charlotte, NC | In-office Employment Type: Full-time CPI Security, a leader in security, smart home, and business automation, is hiring a Senior Marketing Data Analyst to join our Marketing team in Charlotte, NC. In this role, you’ll own the marketing data and analytics ecosystem—from click tracking to lead conversion reporting. You’ll use SQL, GA4, Tableau, Salesforce, Invoca, GTM, and related platforms to build trusted reporting, improve attribution, identify performance trends, and help channel owners make smarter decisions about spend, testing, and strategy. What You’ll Do Build and maintain SQL-backed datasets for campaign, channel, lead, attribution, and conversion reporting Analyze marketing performance across paid search, paid social, display, email, web, offline, and other channels Partner with channel owners to answer key business questions: what happened, why it happened, and what to do next Standardize marketing KPIs including leads, conversion rates, CPL, CPA, ROI, attribution windows, and funnel metrics Develop Tableau dashboards and recurring reports based on trusted data models Monitor data quality, tracking gaps, duplicates, reconciliation issues, and reporting inconsistencies Support attribution, media mix, lead quality, funnel conversion, and budget allocation analysis Design, execute, and analyze A/B tests, multivariate tests, and marketing experiments QA and troubleshoot tracking across GA4, GTM, Salesforce, Invoca, paid media platforms, email, web, and offline channels Present clear, actionable insights to Marketing, Sales, agencies, and leadership What We’re Looking For 3+ years of experience as a marketing analyst, marketing data analyst, data analyst, or similar role Strong SQL skills, including pulling, joining, cleaning, and aggregating marketing and CRM data Experience supporting digital or performance marketing teams with actionable reporting and analysis Hands-on experience with Google Analy

About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: We are seeking an experienced and vision-driven Senior Manager, DevOps Engineering to lead, mentor, and scale our global DevOps, SRE, and Infrastructure engineering teams. In this role, you will champion modern engineering culture, drive cloud modernization, and ensure our infrastructure is secure, highly available, and resilient. You will partner closely with Software Engineering, Product, Security, and IT Operations to deliver zero-downtime releases, mature our CI/CD and IaC practices, and establish robust release and environment management frameworks. The impact you'll make: Lead, mentor, and develop a high-performing global team of DevOps engineers, Site Reliability Engineers (SREs), and infrastructure engineers, to lead transformation and foster a culture of collaboration, accountability, and con

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. Our on-demand insights team uses proprietary technology to identify, license, clean, and analyze the data many of the world’s largest investment funds and corporations depend on. We are one of Inc’s Best Workplaces - a fast-growing technology company with offices located in NYC, Austin, Miami, Denver, Mountain View, Seattle , Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore, backed by Norwest Venture Partners and The Carlyle Group with a strong culture focused on mastery, ownership, and transparency. About The Role (and Challenges You’ll Be Helping To Solve!): We are looking to add an experienced Senior Account Executive to our Corporate team who will act as a main growth driver across a portfolio of existing clients within our corporate sector. The goal is to position YipitData's must-have products and ensure renewals with a disproportionate focus on account growth. The Senior Account Executive will own the commercial relationship for existing business, be responsible for identifying and closing upsell opportunities, having a relationship with every budget owner and decision maker, and owning the renewal. You will be responsible for creating advocates for our products and assisting them find answers to their key questions by collaborating closely with our research, data product, and client strategy teams to provide a "must have" service to our clients. This remote-friendly opportunity can sit in NYC (where our headquarters is located), one of our office hubs (Austin, Miami, Denver, Mountain View, or Seattle), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your impact on our mission Our revenue and customer-facing teams are the backbone of our growth and the face of our brand. As the Senior Manager, GTM Recruiting, you will play a pivotal role in leading talent acquisition for our Sales, Customer Experience, and supporting operational functions (including RevOps, Account Management, and Enablement). You will act as a strategic advisor and thought partner to our C-Suite and senior revenue leaders, helping translate high-level business goals into precise workforce plans, headcount forecasts, and proactive talent pipelines. In this role, you will lead, mentor, and elevate a team of engaged recruiters, creating a supportive and high-performing culture. By setting and defending an exceptional talent bar, you ensure every new hire directly contributes to revenue growth and an outstanding customer experience. You’ll enjoy this role if you are… A Strategic Executive Partner: You view recruiting as a core business function. You enjoy sitting down with leaders to challenge assumptions, guide talent strategy, an

Senior Platform Engineer AI Engineering | Forward Deployed Engineering Role Description Defense Unicorns is seeking a senior AI Agentic Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on designing, integrating, and operationalizing AI agents and agentic workflows within a secure enterprise environment. The engineer will work across large language models, agent frameworks, enterprise data, APIs, developer tooling, and platform services to turn AI capabilities into reliable, mission-relevant workflows. The ideal candidate is a hands-on engineer who understands both the capabilities and limitations of modern AI systems and can rapidly translate emerging technologies into working solutions. They should be comfortable experimenting with new models and agent frameworks, integrating agents with enterprise systems and tools, evaluating performance and reliability, and working alongside platform engineers and commercial technology partners. This is not a research-only role. The focus is on moving from AI concepts and prototypes to secure, useful, repeatable agentic capabilities that can operate in production environments. Responsibilities Design, build, and integrate AI agents and multi-agent workflows using modern LLM and agentic technologies. Develop agent capabilities that interact with enterprise applications, APIs, data sources, developer tools, and mission systems. Integrate models, agents, tools, and enterprise data into secure workflows that can be deployed in controlled and classified environments. Work with LLMs, RAG, embeddings, vector databases, tool/function calling, structured outputs, MCP, and related technologies. Develop mechanisms for agents to securely discover, access, reason over, and act upon approved enterprise data and services. Prototype and rapidly evaluate emerging models, agent frameworks, and AI capabilities to determine where they can create measurab

This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the company to measure the trajectory and overall health of the business. You will work closely with partner teams in Analytics, FP&A, Accounting, Cloud Billing, and Sales Operations to not only drive alignment on business performance narratives, but also to drive company wide transparency and data democratization for company key metrics. Data pipelines, visualizations, root cause analyses, and deep dives generated by this team routinely empower MongoDB’s executive team to make data-informed decisions. This is a high visibility role that offers exposure to senior leadership via the team’s support of the office of the CFO. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Deep dive on performance metrics from across the company to surface drivers of business growth to enable data-driven decision making at the executive level Produce insights to answer requests ahead of critical reporting periods, including earnings and investor days Partner with the rest of the team to own the end-to-end delivery of recurring consumption and revenue reports (weekly, monthly, and quarterly) ensuring they're accurate, timely, and trusted by stakeholders Proactively identify and fix data quality issues, broken pipelines, or reporting discrepancies Document metric definitions, report logic, and data lineage Skills & Attributes The ideal candidate excels equally in data wrangling, pipelining, and storytelling, and shares a passion for automation and continuous process improvement 4+ years in an analyst, data, or BI role with meaningful ownership of key business metrics reporting Strong SQL skills; comfortable writing and optimizing queries against large-scale warehouses (Trino, BigQuery, or similar) Working proficiency in Python for data transformation,

Role Description Defense Unicorns is seeking a senior Data Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on making enterprise data usable, discoverable, governed, and accessible to AI models, agents, and mission applications. The engineer will work across data ingestion, transformation, storage, metadata, APIs, search, vector and graph technologies, and the interfaces between the data layer and AI workloads. The ideal candidate is a hands-on data engineer who can operate across the full data lifecycle and understands that data availability and integration are often the primary blockers to delivering AI capabilities. They should be comfortable entering an evolving architecture, learning unfamiliar systems quickly, working directly with commercial technology partners, and solving difficult problems involving data quality, lineage, access, performance, and security. This is not a traditional analytics or business intelligence role. The focus is on building the data foundations and repeatable patterns that allow AI and agentic capabilities to access trusted data and move from prototype to production in secure and classified environments. Responsibilities Design, build, and maintain reliable data pipelines that ingest, transform, validate, and deliver data for AI models, agents, and mission applications. Integrate structured and unstructured data sources into enterprise data services, including relational, document, vector, and graph-oriented technologies. Work closely with AI/agent engineers to make data discoverable and usable for RAG, semantic search, model context, and tool-enabled agent workflows. Develop repeatable data ingestion and transformation patterns using Python, SQL, APIs, event-driven architectures, and workflow/orchestration technologies. Establish data quality, validation, provenance, lineage, and metadata practices so downstream users and AI systems can t

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission: Zocdoc is hiring a Senior Software Engineer to build the data platform that connects our products with analytics, machine learning, and operational systems. This role sits on the Data Engineering team at the boundary of backend engineering and data infrastructure. You will build APIs, libraries, schemas, services, and supported workflows that help engineers publish and use data safely. Your work will cover the path from source-defined contracts and validation through reliable event and batch delivery to data activation in products and business systems. You will help make quality, ownership, observability, and privacy part of the platform, while giving teams a clearer path to ship without depending on Data Engineering for every integration. You’ll enjoy this role if you are… Excited to build platform products for other engineers, turning ambiguous problems into practical APIs, SDKs, shared libraries, command-line tools, and services that you also help operate. Interested in the full lifecycle of data, including how it is defined

About the Role: The Infrastructure team at Tubi builds and operates the core platforms that power our services at scale. We provide reliable, scalable, and developer-friendly systems for compute, networking, observability, and deployment. As a Senior Software Engineer on the Infrastructure team, you will design, build, and operate the core platforms that all Tubi services run on: compute, networking, traffic, deployments, and observability. You will manage large-scale Kubernetes environments and use Infrastructure as Code (IaC) to keep cloud resources consistent and traceable. Your work can span the full platform stack, from the edge and service mesh to release tooling and reliability systems. In this role, you’ll collaborate with cross-functional teams to deliver scalable, high-performing cloud solutions, working closely with application developers and gaining exposure to a wide range of technologies, including live-streaming, customer customization, and large-scale video transcoding pipelines. This is a hybrid role (2 days/week) based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Kubernetes Operations : Manage and scale multi-cluster Kubernetes deployments, ensuring high availability, performance, and reliability. Networking & Traffic: Design and operate the networking and traffic layer, from the edge to service-to-service communication. This includes safe rollout strategies (for example, canary releases, blue/green deployments, and gradual rollouts) with service mesh technologies such as Istio/Envoy. Release Engineering & Developer Platform: Build and maintain CI/CD pipelines and self-service deployment tooling. Automate deployments and rollbacks, and improve the release experience for all engineers at Tubi. Infrastructure as Code (IaC) : Use Terraform and other IaC tools to provision and manage cloud infrastructure, ensuring consistency and auditability. Observability &amp

SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Senior Financial Analyst, Zephyr (Atlassian Marketplace) Provide financial analysis and forecasting for Zephyr products within the Atlassian Marketplace. Develop data-driven insights to support strategic investment decisions, pricing changes, and retention improvements that accelerate growth. Partner with go-to-market, Product, and Engineering teams to optimize financial performance. Product Intro Zephyr is SmartBear’s market-leading test management solution natively integrated into the Atlassian ecosystem. Used by thousands of Agile tea

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The AI Transformation team AI Transformation is a small, focused squad that is driving Multiverse’s next wave of growth. Our mandate is to rebuild how the company actually works, function by function, and to establish the practices that make Multiverse an AI-first company from the core out. But our work doesn’t stop there. We are building a product that we will take to market to truly be a transformation partner to our customers. Joining this team means shaping the future of Multiverse, of our customers, and of the wider workforce as we navigate the new world of work. The team is high velocity, inherently cross-functional and broad in scope. We work alongside colleagues whose work we are reimagining, and closely with the wider engineering org building Multiverse's current customer-facing product. The structure is flat and fast, with egos left at the door, bias to action and fun at our core. What your day-to-day will look like Every day will be different, but you can expect

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU? Box is redefining how enterprises manage and unlock value from their content in an AI-first world. In this role, you will partner with enterprise customers not only to adopt Box, but to transform how work gets done across their organization using content and AI. You will serve as a strategic advisor and operator, helping customers understand their current content workflows, identify opportunities for improvement, and design future-state solutions that drive measurable business outcomes. You will work closely with executive stakeholders and cross-functional teams to align on priorities, drive change management, and ensure that Box delivers tangible impact. This role represents the evolution of Customer Success at Box—from driving adoption to driv