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Required Customer Experience Associate
About The Position
We are a company at the forefront of helping small businesses succeed. Our all-in-one platform empowers over 40 million entrepreneurs worldwide to launch, manage, and grow their businesses. At the heart of our solution is the Guidance Engine, which creates a personalized plan for every new business and simplifies the entire journey - from the first idea to long-term growth. More than just providing tools, we see ourselves as partners to our customers, offering a support system and practical guidance throughout their business-building journey.
About the Role:
Our Customer Experience (CX) team is the face and heartbeat of helping our customers succeed. Were looking for a Customer Experience Associate who lives and breathes CX - youll be the point of contact for our customers across multiple channels, and the quality of every interaction you deliver will directly shape how customers feel about us.
In this role, you will:
Provide multi-channel support (tickets, chat, phone), ensuring every interaction is empathetic, professional, and solution-driven.
Become an expert in our products and proactively help customers unlock their full value.
Champion the customer voice internally-sharing insights and feedback that turn into actionable changes to influence our product, training, and processes.
Identify knowledge gaps, simplify flows, and suggest improvements that elevate the overall experience.
Collaborate with teammates and cross-functional partners to drive a seamless, customer-first journey.

Were looking for a Senior Data Engineer to own high-impact data products from architecture through production deployment, monitoring, and continuous improvement. This isnt a pure infrastructure role - youll combine strong engineering with product thinking, operational excellence, and awareness of data quality, cost, and business impact.

You will design, implement, test, deploy, and maintain production-grade data products - pipelines, transformation layers, data quality and reliability systems - using tools like DBT (on Spark) and Databricks. Youll apply best practices in Python and SQL to build scalable and maintainable data transformations, and leverage technologies like LLMs and GenAI to create innovative solutions for real business problems.

This role is ideal for someone who wants technical leadership responsibilities in an AI-first engineering culture - we use LLMs, GenAI, and AI-native development tools as core parts of our daily workflow.

Key Responsibilities

Act as a technical leader within the team - raise engineering standards, drive strong architectural choices, and improve how we build
Own data products end-to-end: design, development, deployment, monitoring, and iteration
Work closely with senior leadership to translate strategic goals into scalable data solutions
Develop and maintain production ETL/ELT pipelines using DBT (on Spark) and orchestrated workflows in Databricks
Build monitoring, alerting, and testing pipelines to ensure reliability and performance in production
Evaluate and introduce new technologies - including AI-native development tools - and integrate the ones that create real impact
Collaborate with customers and external data providers - gathering requirements and making product decisions.
Mentor team members through code reviews, pairing, and knowledge sharing

our company has every ingredient of a marketplace business - advertisers, publishers, OEMs, carriers, consumers, devices, and proprietary device-level data. Our job in Data Science is to turn that raw advantage into intelligence: the insights, models, and experiments that optimize the marketplace and prove the value we create.
As a Senior Data Scientist, you'll partner with engineering, product, and business leaders to drive analysis that shapes strategy - from bidding efficacy and audience curation to measurement, attribution, and our centralized experimentation platform. You'll help DT build a culture of continuous, evidence-based improvement across every product surface.
About the Senior Data Scientist Role
Frame ambiguous business problems as crisp, testable data and modeling questions, and deliver analysis that informs product and commercial strategy
Design and analyze experiments (A/B and beyond) and help establish DT's centralized experimentation tracking - a single source of truth for hypotheses, results, and decisions
Build statistical and ML models for audience segmentation, bid/UA optimization, lifetime value, and measurement/attribution
Develop time-series and real-time event understanding that improves the timeliness and relevance of recommendations and bidding
Partner with ML and Data Engineering to productionize models and feed insights into the Next Best Action framework
Communicate findings clearly to technical and executive audiences, and mentor other analysts and scientists.

our company runs on small, autonomous pods that own an outcome and a roadmap end to end. We hire engineers, not language specialists: we care that you can reason about systems, pick the right tool for the problem, and ship reliable software across the stack.
As a Senior Full Stack Engineer, you'll build the product surfaces that bring our marketplace together - campaign management and creation, unified dashboards and reporting, audience and asset tooling, and the APIs that connect demand to supply. You'll work across front-end, back-end, and data, contributing to the unified product architecture at the heart of our FY27 roadmap. The underlying platform requires heavy back-end engineering, low-latency optimization, and algorithmic problem-solving to manage massive throughput and real-time marketplace dynamics.
About the Senior Full Stack Engineer Role
Design and build full-stack features - from responsive web front-ends to back-end services and APIs - that power campaign management, reporting, and marketplace optimization
Choose the right language and tools for each problem (we run a polyglot stack), and keep the front end lightweight by pushing complex computational logic, data modeling, and heavy algorithmic weight into robust, scalable back-end services
Build and consume well-designed APIs that integrate DT products into a unified architecture rather than isolated silos
Own your services in production: testing, observability, performance, and on-call, treating quality as a whole-team responsibility
Collaborate directly with product leads and stakeholders, contributing to scoping, estimation, and technical decisions within your pod
Mentor teammates and raise engineering standards through code review, automation, and pragmatic architecture.