Data scientist

About DevRev
At DevRev, we're building the future of work with
Computer
– your AI teammate. Unlike traditional tools,
Computer
unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

About The Role
Customer Outcomes is DevRev's unified post-sales function, a deliberate merger of Customer Success and Customer Support into one team that owns the full customer lifecycle from go-live to renewal. Instead of handing customers between siloed teams, a Customer Outcomes Manager owns accounts end-to-end: resolving tickets, driving adoption, managing escalations and ensuring customers extract measurable value from what they purchased.

Computer is your multiplier. DevRev's AI agent handles first-line triage, ticket classification, routing, knowledge retrieval, and deflection, freeing you to focus on what AI can't do: strategic enablement, relationship building, and driving outcomes that require human judgment. Your effectiveness is measured not just by what you do directly, but by how well you leverage Computer to scale your impact across your portfolio.

Why this role exists

Traditional SaaS splits post-sales into Support (reactive, ticket-focused) and Customer Success (proactive, relationship-focused). That creates handoff gaps, duplicated context, and customers feeling bounced between teams. At DevRev, the person who resolves a customer's bug should also drive their adoption - because they understand the customer's pain better than anyone.

What You'll Own
Ticket lifecycle management (powered by Computer)
An AI Tech Support Engineer manages the ticket lifecycle, working alongside Computer to handle resolution at scale.

• Respond to tickets with Computer assistance; Computer drafts, you review and personalize.
• Use Computer for knowledge retrieval, similar-ticket lookup, and suggested resolutions before starting from scratch.

Adoption and value delivery

• Drive adoption across your portfolio: build onboarding and enablement plans, set value milestones, and guide customers from go-live to full activation.
• Track usage trends and flag drops early using Computer's anomaly signals, then turn those signals into proactive outreach before they become friction.
• Run enablement sessions and product walkthroughs for new features and capabilities, tailored to each customer's use case and maturity.
• Ensure products purchased are products used, compare entitlements against actual usage, close adoption gaps, and surface underused capabilities the customer is paying for.
• Build and maintain account success plans: document each customer's goals, success criteria, and the path to realizing them.
• Translate product usage into business value, quantify outcomes (time saved, cost avoided, deflection achieved) and bring that story to reviews.
• Generate account health reports, QBR materials, and adoption analyses on demand, and use them to drive customer conversations and internal prioritization.
• Capture recurring needs and friction patterns, and feed them back to Product to shape the roadmap.

Relationship and commercial

• Maintain a regular meeting cadence with your accounts.
• Keep relationships multi-threaded; engage executive sponsors regularly.
• Identify and flag expansion opportunities.
• Run formal renewal reviews for accounts approaching expiry.
• Know your customer so you can be a trusted advisor for AI strategies using Devrev.

What You'll Bring
Core competencies

• Technically oriented and AI-capable - able to use AI to work effectively; understands APIs, and explains root causes to both engineers and customers.
• Account ownership, comfortable owning a large B2B portfolio end-to-end, from ticket resolution through business reviews.
• Communication, runs customer calls confidently, writes clear RCA reports and QBR materials, and gives concise internal updates.
• AI-native workflow, embraces Computer as the operating layer; actively trains the model and measures leverage through automation.
• Commercial awareness, understands ACV, tracks utilization, spots expansion signals, connects usage to renewal confidence.
• Ambiguity tolerance, this is a new operating model; you'll help shape it, not just follow playbooks.

Experience

• 3+ years in customer-facing technical roles (support engineering, solutions engineering, CSM, or technical account management).
• Hands-on with at least one of: ticketing systems, CRM, workflow automation, analytics platforms, or developer tools.
• Background in enterprise SaaS, or high-volume support environments preferred.
• Experience across both support and success motions is highly valued.

The Customer Outcomes team is living proof that the convergence of support, success, and AI works. Computer makes the model possible. You make it excellent. Highly driven individuals who are motivated to transform the way Customer Experience is delivered are especially sought after.

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

About the role

Customer Outcomes is DevRev's unified post-sales function, a deliberate merger of Customer Success and Customer Support into one team that owns the full customer lifecycle from go-live to renewal. Instead of handing customers between siloed teams, a Customer Outcomes Manager owns accounts end-to-end: resolving tickets, driving adoption, managing escalations and ensuring customers extract measurable value from what they purchased.

Computer is your multiplier. DevRev's AI agent handles first-line triage, ticket classification, routing, knowledge retrieval, and deflection, freeing you to focus on what AI can't do: strategic enablement, relationship building, and driving outcomes that require human judgment. Your effectiveness is measured not just by what you do directly, but by how well you leverage Computer to scale your impact across your portfolio.

Why this role exists:

Traditional SaaS splits post-sales into Support (reactive, ticket-focused) and Customer Success (proactive, relationship-focused). That creates handoff gaps, duplicated context, and customers feeling bounced between teams. At DevRev, the person who resolves a customer's bug should also drive their adoption - because they understand the customer's pain better than anyone.

What you'll own:

Ticket lifecycle management (powered by Computer)

An AI Tech Support Engineer manages the ticket lifecycle, working alongside Computer to handle resolution at scale.

• Respond to tickets with Computer assistance; Computer drafts, you review and personalize.
• Use Computer for knowledge retrieval, similar-ticket lookup, and suggested resolutions before starting from scratch.

Adoption and value delivery

• Drive adoption across your portfolio: build onboarding and enablement plans, set value milestones, and guide customers from go-live to full activation.
• Track usage trends and flag drops early using Computer's anomaly signals, then turn those signals into proactive outreach before they become friction.
• Run enablement sessions and product walkthroughs for new features and capabilities, tailored to each customer's use case and maturity.
• Ensure products purchased are products used, compare entitlements against actual usage, close adoption gaps, and surface underused capabilities the customer is paying for.
• Build and maintain account success plans: document each customer's goals, success criteria, and the path to realizing them.
• Translate product usage into business value, quantify outcomes (time saved, cost avoided, deflection achieved) and bring that story to reviews.
• Generate account health reports, QBR materials, and adoption analyses on demand, and use them to drive customer conversations and internal prioritization.
• Capture recurring needs and friction patterns, and feed them back to Product to shape the roadmap.

Relationship and commercial

• Maintain a regular meeting cadence with your accounts.
• Keep relationships multi-threaded; engage executive sponsors regularly.
• Identify and flag expansion opportunities.
• Run formal renewal reviews for accounts approaching expiry.
• Know your customer so you can be a trusted advisor for AI strategies using Devrev.

What you'll bring:

Core competencies

• Technically oriented and AI-capable - able to use AI to work effectively; understands APIs, and explains root causes to both engineers and customers.
• Account ownership, comfortable owning a large B2B portfolio end-to-end, from ticket resolution through business reviews.
• Communication, runs customer calls confidently, writes clear RCA reports and QBR materials, and gives concise internal updates.
• AI-native workflow, embraces Computer as the operating layer; actively trains the model and measures leverage through automation.
• Commercial awareness, understands ACV, tracks utilization, spots expansion signals, connects usage to renewal confidence.
• Ambiguity tolerance, this is a new operating model; you'll help shape it, not just follow playbooks.

Experience

• 3+ years in customer-facing technical roles (support engineering, solutions engineering, CSM, or technical account management).
• Hands-on with at least one of: ticketing systems, CRM, workflow automation, analytics platforms, or developer tools.
• Background in enterprise SaaS, or high-volume support environments preferred.
• Experience across both support and success motions is highly valued.

The Customer Outcomes team is living proof that the convergence of support, success, and AI works. Computer makes the model possible. You make it excellent. Highly driven individuals who are motivated to transform the way Customer Experience is delivered are especially sought after.

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

Why does MWDN rock?:

Here’s what you can expect when you join MWDN:

• Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
• Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
• Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
• Professional development: We offer English courses and professional growth opportunities, as well as team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.

What is your new project?:

Domain: AdTech / Data Infrastructure & Business Intelligence

Client Location: United States

Company Size: 11–50

Founded: 2018

What makes this project exciting?:

We're looking for a Senior Data Engineer to build and scale the data infrastructure that powers our business intelligence platform. You'll work with massive volumes of ad server data, CRM data, and a variety of ancillary data sources to power real-time analytics by designing, maintaining, and enhancing pipelines that process billions of events.

This role sits at the intersection of ad-tech domain expertise and modern data engineering. You'll build systems that ingest data from SSPs, DSPs, ad servers, and various other data sources, transform it into actionable insights, and power dashboards that help our internal and external customers optimize campaigns, manage workflows, and drive efficiency and growth for everyone.

What Makes You a Great Fit

• 5+ years of professional data engineering experience
• 2+ years working with programmatic advertising and ad-tech data (GAM)
• Strong proficiency in Python and SQL
• Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, ClickHouse)
• Experience with batch processing frameworks (Spark, dbt, Airflow)
• Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level data
• Experience with cloud platforms (AWS, GCP) and infrastructure-as-code
• Ability to work partial US work hours (available until 2pm ET)

Ad-Tech Data Experience
Data Sources (Familiarity Required):

• SSP reporting APIs and log-level data (Magnite, PubMatic, Index Exchange, Xandr)
• Google Ad Manager (GAM) reporting, Data Transfer files, and BigQuery exports

Data Models & Metrics

• Revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid density
• Auction analytics: bid landscape, floor optimization, timeout analysis
• Demand partner performance: SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, IVT
• Supply chain data: ads.txt validation, sellers.json mapping, SPO analysis

Technical Stack

• Languages: Python, SQL, Scala (nice to have)
• Processing: Apache Spark, dbt, Apache Flink
• Warehouses: BigQuery, Snowflake, ClickHouse, Redshift
• Orchestration: Airflow, Dagster, Prefect
• Storage: S3, GCS, Delta Lake, Parquet
• Infrastructure: AWS, GCP, Terraform, Kubernetes

Nice to Have

• Experience with ML feature engineering for bid optimization or yield prediction
• Background in building data products for publisher-side monetization
• Familiarity with privacy-preserving data techniques (differential privacy, clean rooms)
• Experience with CTV/OTT advertising data and video ad metrics
• Knowledge of identity resolution and cross-device data challenges

Your Day-to-day In This Position

• Design and build and enhance scalable data pipelines for processing data from a variety of ad server and ancillary data sources
• Ingest and normalize data from multiple SSPs, DSPs, ad servers (GAM), and third-party reporting APIs
• Develop ETL/ELT workflows to transform raw data into analytics-ready datasets
• Create data models for campaign performance optimization, supply analysis, supply allocations, and profit maximization
• Build and maintain data warehouses and lakes optimized for ad-tech query patterns
• Implement data quality monitoring, validation, and anomaly detection for data streams
• Support Executive, BI and analytics teams with clean, documented, and performant data infrastructure
• Ensure data privacy compliance (GDPR, CCPA) in data collection, storage, and processing

Why work with us?:

• People-first management with minimal bureaucracy
• A friendly company culture, proven by employees who choose to return
• Flexible working hours
• 29 days of PTO (18 working days per year pluse all national holidays)
• 10 paid recovery days
• Full financial and legal support for independent contractors
• Free English classes, with native speakers or Ukrainian teachers
• Dedicated HR support

Our Next Steps
✅ Intro call with a Recruiter — ✅ Introductory interview with the Client — ✅ Home assignment — ✅ Final client interview— ✅ Offer

Join our team as

Software engineer, mobile

Ljubljana, Slovenia

Apply now

About The Role
We are looking for an experienced mobile engineer to lead the development of core features across our mobile apps on iOS, Android, and React Native. Soniox is redefining how people interact with voice and AI — and mobile is where that experience lives for most users. You'll play a critical role in shaping fast, intuitive, real-time voice AI experiences that feel like magic, while building a rock-solid foundation for scalability and performance.

You will be working on a user-facing product powered by our cutting-edge speech and translation AI, used for multilingual communication, transcription, and real-time reasoning. You’ll collaborate closely with product, design, and research teams to build intuitive, high-performance features that push the boundaries of what mobile apps can do.

In This Role, You Will

• Build and ship powerful mobile experiences across iOS, Android, and React Native, delivering low-latency voice AI in users’ hands.
• Do foundational improvements to our mobile codebases, including architecture, performance, testing, and developer tooling.
• Partner closely with design, research, and backend teams to create delightful, speech-first product experiences.
• Work across the stack when needed — from microphone streaming to UI polish — to ensure the app feels fast, simple, and reliable.
• Continuously improve app quality by prioritizing stability, responsiveness, and user satisfaction.

You Might Thrive In This Role If You

• Have deep experience building and shipping production mobile apps, with expertise in iOS (Swift), Android (Kotlin), and/or React Native (JavaScript/TypeScript).
• Care deeply about app performance, startup time, battery use, and smooth UX — especially in audio-heavy or real-time systems.
• Enjoy working across the mobile stack, including native modules, hardware integration, and UI frameworks.
• Are passionate about crafting intuitive experiences for complex technologies like real-time speech translation.
• Are comfortable with ambiguity and thrive in fast-paced, startup environments where you can move quickly and make a big impact.

Why Soniox

You’ll help build one of the most technically advanced AI platforms in the world — and shape how it reaches and supports users globally.

You’ll work directly with a world-class team of engineers and researchers solving frontier problems in speech and language AI.

You'll have a voice in how our company grows, how our customers succeed, and how AI transforms human communication.

Ready to join Soniox? Apply now