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If you are someone who genuinely enjoys untangling a customer's problem, reads between the lines to spot what they actually need, and takes real pride in turning a frustrating moment into a great experience, then your place is with us!
What will you Do?
Deliver hands-on support - Answer product questions, troubleshoot issues, and help customers get the most out of our company
Shape the customer experience - Work closely with the CX Team Lead and teammates to implement strategies that boost customer satisfaction
Drive product improvements - Gather customer feedback and partner with Product and Engineering to influence the platform roadmap
Build self-service resources - Create and maintain internal and customer-facing documentation that strengthens product knowledge and self-service options.

Join our R&D team and take part in developing advanced LTE/5G cellular monitoring and spectrum-analysis technologies.
The role combines software development, protocol research, RF analysis, and real-world system integration in both lab and field environments.

Responsibilities include:
Development in C/C++, Python, and Bash.
Research and analysis of LTE/5G cellular protocols and RF behavior.
Building monitoring, detection, and automation tools.
Analyzing protocol data, logs, and software code.
Working with databases and query languages.
Collaborating with multidisciplinary R&D teams and participating in field activities.
Turning complex RF and protocol information into operational insights.

We're looking for an AI Builder to join our Marketing team- someone who will design, build, and ship AI-powered tools and workflows that make marketing faster, smarter, and more effective. This role reports to the VP of Marketing.
If you're a creative, self-driven builder who moves seamlessly from ideation to execution, this role was made for you. You thrive in dynamic, fast-moving environments, take full ownership of your projects, and don't need hand-holding to turn an idea into a working tool. You'll be the team's go-to AI owner - collaborating closely with marketing stakeholders while also pursuing your own ideas, embracing a fail-fast mindset to try, scale, or kill initiatives quickly.
What will you do?
Own marketing AI tools: Fully own, build, and maintain all AI-driven tools that support the marketing team.
Lead lead-generation initiatives: Drive growth-hacking and meeting-generation pipelines end to end.
Build inbound demand: create lead magnets, interactive AI-powered assets, an SEO/AEO content engine, and on-site personalization that turn visitors into pipeline.
Build outbound demand: own list building, data enrichment, intent-signal monitoring, and 1:1-at-scale outbound sequences that create net-new pipeline.
Run an AI creative pipeline: produce video, image, and copy at volume with AI tools, giving marketing a scalable creative engine.
Educate the team on AI: Teach and keep the marketing team up to date on the latest AI trends and capabilities.
Build collaborative and independent tools: Partner with the team to build impactful day-to-day tools while also pursuing independent AI initiatives.
Unblock the AI wishlist: Address the marketing team's backlog of AI ideas that they haven't had time to implement.
Experiment and iterate quickly: Apply a fail-fast approach, testing new tools and initiatives, then scaling or killing them based on results.

If you're a Google Ads expert who thinks in numbers, obsesses over every dollar of spend, gets a thrill from squeezing more performance out of a campaign, and is comfortable leveraging AI and LLMs to work smarter and faster - this is your game to play.
What will you do?
Own and optimize Google Ads end-to-end: Manage Search, Performance Max, Display, and YouTube campaigns to drive user and pipeline growth.
Lead in-house media transition: Take over management of a six-figure monthly budget currently run by an external agency.
Drive growth via paid channels: Focus on Google and emerging platforms like OpenAI to expand reach and acquisition.
Partner on attribution tracking: Collaborate on measurement and reporting across GA4, GTM, and HubSpot.
Collaborate cross-functionally: Work with design, product marketing, and sales to align campaigns with GTM priorities and target personas.
Explore emerging ad platforms: Test and scale new channels and user experience to stay ahead of industry trends.

Required Sr Staff Product Manager, QuickBooks Bill Pay
Company Overview:
We are the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
As a Senior Staff Product Manager for QuickBooks Bill Pay, you will own the strategy and execution for a core pillar of QuickBooks money movement ecosystem: one of our highest growth and engagement areas.
In this high-visibility leadership role, you will work across teams and product surfaces to define long-term vision, identify new opportunities, and deliver step-change improvements in how small businesses manage and move their money.
Responsibilities:
Identify and quantify market opportunities through deep customer insight, data analysis, and competitive intelligence
Define and drive a cohesive product strategy across multiple teams and time horizons (near-, mid-, and long-term)
Lead complex, cross-functional initiatives spanning systems, teams, and business units
Influence company-wide priorities and align product, business, and technical strategies
Build scalable frameworks for product discovery, delivery, and measurement
Drive operational excellence across the product lifecycle - from ideation through launch and continuous iteration.

Required Senior Machine Learning Engineer, Foundational Models and Agentic systems
Company Overview:
We are the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting-edge technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for elegant, state of the art technology which drives impact and creates awesome user experiences, this is the job for you.
You will collaborate with many teams and contribute to many components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.
In this role, youll:
Be part of a vibrant team of Data Scientists and ML Engineers
Be expected to help code, optimize, and deploy GenAI models at scale, using the latest industry tools and techniques
Help automate, deliver, monitor, and improve GenAI solutions
Responsibilities:
Design and build systems, which improve Generative AI inference, quantization, optimization, finetuning, and evaluation
Work cross-functionally with product managers, data scientists, and engineers to understand, implement, refine, and design Generative AI models
Effectively communicate results to peers and leaders
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines.

What will you do?
Own our companys core creation experience - Define vision and roadmap for the capture-and-edit flow that sits at the heart of the product
Design seamless cross-platform journeys - Improve the creation experience across Chrome extension, desktop, and web, removing friction at every step
Stay deeply connected to users - Run interviews, feedback sessions, and continuous discovery to understand real user needs and behaviors
Turn data into decisions - Define success metrics, track performance, and use insights to guide fast, confident product decisions
Leverage AI where it adds real value - Identify where intelligent capabilities improve the experience and bring them into production effectively
Lead cross-functional execution - Work closely with engineering, design, and GTM teams to deliver high-impact product outcomes.

We are currently seeking an experienced Project Manager to lead project planning and execution, coordinate cross-functional teams, and ensure the successful delivery of complex defense technology projects on time and within scope.

Responsibilities:
Full project ownership from initiation through delivery - including R&D coordination, supply chain management,
manufacturing, and customer delivery.
Direct management of customer relations throughout the project lifecycle.
Preparation of project documentation and oversight of planning, development, and implementation processes.
Active participation in technical meetings and setting development directions as needed.

We are looking for a highly proactive and experienced Operations Manager to help lead the operational evolution in content moderation of the Trust & Safety (T&S) department. This role sits at the intersection of moderation operations, product, technology, data, policy and external vendors. The person will be responsible not only for maintaining existing operations, but for identifying gaps, building scalable solutions and driving complex T&S initiatives from problem definition through implementation. This is a role for someone who is comfortable with ambiguity, operates with a high degree of independence and naturally takes ownership. We are looking for someone who does not wait for a fully defined task or process, but can identify what needs to happen, build the plan, align the right stakeholders and move the work forward.

What am I going to do?:

* Own complex Trust & Safety operational initiatives from definition through execution, rollout and measurement.
* Lead operational aspects of new moderation technologies, external vendor integrations and tooling improvements, including solutions such as automated and AI-assisted moderation.
* Act as the operational owner for integrations: define requirements, identify dependencies, coordinate Product, Engineering, data, Policy, Legal and vendor stakeholders, manage timelines and drive decisions to closure.
* Translate T&S problems and policy requirements into scalable operational workflows, enforcement logic, rules, tooling requirements and implementation plans.
* Continuously identify operational gaps, inefficiencies and emerging abuse trends and proactively propose solutions rather than waiting for predefined projects.
* Build and improve moderation workflows across automation and human review, balancing accuracy, operational efficiency, user impact and business needs.
* Own relationships with relevant moderation and T&S vendors, including implementation, performance management, escalation and ongoing optimization.
* Drive cross-functional projects involving Policy, Product, Engineering, data Science, Legal, Customer Care, QA and Training.
* Support incident and escalation management when operational or platform-integrity risks require rapid cross-functional response.
* Help shape the longer-term operating model and capabilities of the Trust & Safety function.

Equal opportunities:
At our company, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.

We are seeking a highly skilled and analytical Senior Data Engineer to join our Data team. In this role, you will design and implement robust data pipelines, while uniquely bridging the gap between engineering and analytics by actively analyzing data to extract actionable insights. You will play a crucial part in architecting our data foundations to support everything from business intelligence to advanced machine learning and agentic AI pipelines.
As a Senior Data Engineer, you will collaborate closely with engineering teams, product managers, and stakeholders across the organization. You will not only build the infrastructure utilizing modern data stack tools but also act as a data analyst when needed, ensuring our systems are fully equipped to operate within and support a cutting-edge agentic AI environment.
Responsibilities
Design, build, and maintain highly scalable ELT/ETL data pipelines.
Architect and manage modern cloud data warehousing solutions.
Develop, maintain, and monitor Python services responsible for robust data collection and ingestion.
Perform hands-on data analysis to interpret complex datasets, identify trends, and deliver business insights, acting in a dual capacity as a Data Analyst.
Develop and optimize data infrastructure specifically designed to support autonomous agentic workflows and LLM integrations.
Collaborate with engineers and analysts to troubleshoot data issues, enforce quality SLAs, and define data requirements.
Document data architecture, flow, and analytics standards for internal team alignment.
Build and maintain dashboards and reports to communicate analytical findings and data health to the organization.
Maintain Kafka consumer applications that process high-volume event streams in real-time, ensuring reliable ingestion into cloud databases.