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Location: Limassol, Cyprus Workplace: hybrid We are looking for a QA Manager to join our team. In this role, you will lead QA Operations, drive the development and improvement of quality processes and standards, optimize regression testing, work with quality metrics, and promote automation and AI-powered approaches across QA. You will work closely with Engineering Platform and Product teams to strengthen quality ownership and build efficient, scalable QA processes across the organization. This is a hybrid role, with 2 days per week working from the office in Paphos or Limassol . Key Responsibilities Lead the QA Operations team, including team development and performance management Own and continuously improve regression testing processes for mobile applications Develop product quality processes and continuously improve their efficiency Own quality metrics, analyze trends and identify improvement opportunities Develop defect management, triage and escalation processes for critical issues Define and continuously improve testing guidelines, quality standards and common QA processes Drive the adoption of AI-powered approaches and automation across testing and quality processes Identify and scale opportunities to use AI to improve QA Operations efficiency and reduce manual effort Partner with Engineering Platform and Product teams to improve product quality and strengthen engineering ownership of quality Skills, Knowledge and Expertise 5+ years of experience in Quality Management / QA Lead Experience managing distributed or international teams Strong experience in organizing and optimizing regression testing Experience building, scaling and improving QA Operations processes Hands-on experience working with quality metrics and driving data-informed improvements Experience testing mobile applications on iOS and Android Good understanding of test automation across Unit, API and UI/E2E levels and shift-left testing principles Experience adopting AI tools, AI-assisted testing or other AI-powered approaches in software development and testing processes Ability to identify processes that can be automated or transformed with AI and drive such initiatives through implementation Strong stakeholder management skills and experience working closely with Engineering Platform and Product teams Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 90 700 EUR gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Conditions & Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Conditions & Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross Final benefits may vary depending on the location.

Location: Jakarta, Indonesia Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 70 700 gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid We are looking for a Senior Data Project Manager to join inDrive's Data Platform. You will work in close partnership with the Engineering Managers of two core teams, Data Ops and Data Delivery, and coordinate projects that span multiple data platform teams: for example, onboarding data from external partners and orchestrating its downstream transformation into analytics-ready data marts. Key Responsibilities Coordinate cross-functional Data Platform (DWH) initiatives end-to-end, from source-system integration through the warehouse to analytical data marts Act as the single point of accountability for initiative outcomes, ensuring value delivery within expected timeframes Drive projects that cut across several teams, e.g. partner data ingestion followed by transformation and modeling, aligning scope, sequencing, and ownership between Data Ops, Data Delivery, and adjacent teams Work in tandem with the Engineering Managers of Data Ops and Data Delivery on planning, capacity, and execution; participate in the operational management of the teams Own project and initiative schedules: identify risks, dependencies, and potential slippage early, and communicate them promptly to all stakeholders Manage priorities across product-driven requests from internal data consumers and long-term platform investments (reliability, data quality, governance, security) Build a process for continuous improvement of team metrics: delivery performance, quality, engagement, and team maturity Facilitate project- and program-level events (planning, syncs, retros, stakeholder reviews) Translate between business and technical teams, keeping internal consumers, engineering, and leadership aligned Skills, Knowledge and Expertise 3+ years of project or program management experience in Data Platform, Data Warehousing (DWH), or Analytics environments Demonstrated success managing complex initiatives with multiple stakeholders, teams, and moving parts Solid command of modern goal-setting and project management tools Exceptional communication and stakeholder alignment skills: able to translate between business and technical audiences Highly organized, with strong prioritization, risk management, and accountability-driving skills Strong systems thinker; brings clarity and structure to ambiguity Nice to have Hands-on experience in Data Platform / Data Warehouse ecosystems: understanding of data pipelines, ODS-to-data-mart layering, streaming and batch delivery, data governance Experience in high-growth consumer tech Familiarity with modern data stack tooling (dbt, Airflow, Kafka, BigQuery or similar cloud DWH) Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from 70 100 EUR gross Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid The Head of Supply is one of the key leadership roles in the vertical, owning supply performance across a large portfolio of markets and ensuring we can both run the current business efficiently and build the supply model required for future growth. The role combines two core mandates: Run the business: maintain a healthy marketplace, sufficient supply, efficient acquisition, strong courier economics, and consistent operational performance across markets. Change the business: build new supply models, fleet structures, operating approaches, product capabilities, and scalable solutions required to support new products, monetisations streams, and business models. This is a global ownership role with direct accountability for supply strategy, marketplace performance, economics, execution, and transformation. Key Responsibilities Marketplace Health Own supply-demand balance by market, zone, and time of day based on marketplace efficiency inputs. Maintain courier availability, utilisation, productivity, and overall marketplace health. Own geographic coverage gaps, supply density, and market expansion readiness. Build and maintain supply forecasting models with measurable accuracy targets. Own SLA achievement, done rate, acceptance rate, and other critical supply-side marketplace metrics. Identify structural marketplace issues early and drive corrective actions together with country teams and Product. Supply Acquisition Own the end-to-end courier acquisition funnel from awareness through activation and 1/3/10 completed deliveries. Define and manage CAC targets, acquisition budgets, channel mix, and activation efficiency. Run digital, referral, offline, partnership, and local acquisition programmes across markets. Design scalable acquisition playbooks while adapting execution to local market realities. Build and maintain a structured experimentation framework to continuously improve acquisition efficiency and activation quality. Ensure acquisition is directly linked to marketplace demand rather than managed as an isolated growth function. Supply Marketing Own global courier positioning and the courier value proposition. Define why couriers should choose, stay with, and prioritise our platform versus alternatives. Drive supply performance marketing together with the central Marketing team. Test and optimise creative, messaging, channels, and offers across acquisition and retention. Define communication strategy for active, lapsing, and reactivated couriers. Ensure courier communication supports both marketplace performance and long-term retention. Budget & ROI Ownership Own and allocate acquisition, incentive, referral, supply marketing, and other relevant supply budgets. Define clear СAC, payback, ROI, and incremental impact frameworks for all supply investments. Build quarterly and annual budget plans with scenarios and clear business assumptions. Reallocate investment across markets based on performance, opportunity, and marketplace needs. Hold country teams accountable for supply investment efficiency. Ensure every material supply investment has a clear expected business outcome and measurable return. Strategy Author and own the global supply strategy, updated annually and reviewed quarterly. Define how our supply model should evolve across different market maturity stages and business models. Build the country prioritisations framework based on marketplace maturity, growth opportunity, economics, and strategic importance. Lead quarterly and annual planning cycles, including OKR-setting with country teams. Define the long-term evolution of courier, fleet, partner, and hybrid supply models. Identify structural opportunities to improve supply quality, scalability, cost, and competitive advantage. Ensure supply strategy supports new verticals, products, monetisation models, and future business growth. Operations Run weekly global supply business reviews with country teams. Maintain a clear view of performance, key risks, priorities, and required actions across all markets. Manage country escalations and unblock critical operational issues with speed. Build scalable operating standards while preserving necessary local flexibility. Drive cross-functional alignment across Product, Marketing, Finance, Legal, GR, Commercial, and Operations. Step into critical markets or projects when performance requires direct leadership intervention. Build strong accountability across country teams for execution and results. Product Represent supply requirements in all relevant product roadmap decisions. Own prioritisation of supply-side product needs based on business impact and marketplace performance. Maintain and prioritise the supply product backlog together with Product. Translate operational problems into scalable product solutions rather than permanent manual processes. Coordinate experiment sequencing, pilots, rollout planning, and post-launch evaluation. Ensure new products and business models have a viable supply operating model before scale. Lead the supply side of major change initiatives including new fleet models, fulfilment models, courier tools, and marketplace mechanics. Analytics Own the supply performance framework across all markets. Own supply dashboards, country scorecards, and management reporting. Run regular funnel analysis, cohort analysis, marketplace diagnostics, and investment performance reviews. Build forecasting, scenario planning, and capacity models required for business planning. Track forecast accuracy and continuously improve planning quality. Ensure decisions are based on clear data and comparable metrics across markets. Move the organisation from reporting what happened to understanding why it happened and what needs to change. Qualifications 7+ years in marketplace operations, supply growth, or platform scale. Proven ownership of acquisition budgets ($1M+ annually). Experience leading multi-country or global teams of 8+ people. Track record of improving CAC and supply retention simultaneously. Background in on-demand logistics, ride-hailing or food delivery preferred. Advanced level of English proficiency. The Head of Supply is not only responsible for managing the existing supply organisation. The expectation is to build a global supply engine that can scale with the business. The person should be equally comfortable running marketplace performance today and redesigning the operating model for tomorrow - moving between country execution, economics, strategy, product, and complex transformation topics. Success in this role means having the right supply, in the right place, at the right time and cost today, while continuously building a stronger and more scalable supply model for the future. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 86 800 EUR gross Final benefits may vary depending on the location

Location: Manchester, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The Company Deliveroo is a multi-award winning, international food business and one of the most successful recent technology companies to come out of the UK.  We are on a mission to transform the way customers eat, just as Airbnb has for travel and Amazon has for e-commerce. Our aim is to bring great food to customers as fast as possible and in less than 30 minutes. Whether you want Pad Thai in the evening, a salad at lunch or forgot some key grocery items, we’ve got it covered. The Team The Small Medium Business (SMB) teams are responsible for Deliveroo’s relationships with thousands of independent restaurant and retail partners that operate on the Deliveroo marketplace in a number of markets across Europe, ensuring that they continue to grow and operate efficiently. The SMB team spans the full life-cycle of partner interactions from initial acquisition, on-boarding, reactive support and proactive account management. The Sales team is the start of our funnel, consisting of inbound and outbound teams for all of Deliveroo’s EU markets (UK, Ireland, France, Italy and Belgium), across the restaurant, grocery and retail verticals. The Role As a Sales Operations Manager you will oversee and develop high-performing operational teams while designing and delivering long-term strategic frameworks to enhance commercial performance. As an Operations Manager, you will work closely with the function leads to ensure the operation is both efficient and high performing. You will strive for excellence by understanding stakeholder requirements and support on delivering operational initiatives that drive performance. Based in Manchester, 3 days a week onsite. Core Responsibilities Operational Leadership Guide daily activities across operational functions, ensuring quality and quantity of sales volume, adherence to performance targets, and seamless cross-team collaboration Championing change and leading on identifying new ways of working in collaboration with other Deliveroo functions to ensure we have the right tools and content to support our agents in delivering the right partner outcomes Coach, mentor, and develop team members, cultivating an inclusive and accountable environment focused on continuous improvement. Strategic Planning Define and translate medium to long-term strategies into actionable business plans that drive commercial objectives—such as revenue growth, profitability, and efficiency. Monitor KPIs and financial metrics, using insights to adjust processes, manage risk, and support strategic decision-making and effective planning processes Collaborate with senior leadership to align commercial strategy with operational capabilities and resource allocation Stakeholder Engagement & Communication Drive transformation and continuous improvement initiatives, integrating new technologies and operational models that support commercial targets. Communicate strategic plans, performance trends, and operational insights to executive teams, commercial partners, and frontline staff What You’ll Be Doing Supporting the day-to-day Contact Centre operations ensuring the teams are set up for success in order to deliver our monthly, quarterly and annual commercial objectives Designing and implementing new strategic initiatives across the centre ensuring cross functional alignment and coaching teams to embed new ways of working. Delivering the operational strategy for the EU hub, ensuring local programs are executed efficiently including but not limited to implementation of product launches, identifying skill gaps, creating and implementing local incentives that drive performance. Championing change and leading on identifying new ways of working in collaboration with other Deliveroo functions to ensure we have the right tools and content to support our agents in acquiring new partners Partnering with the central teams to build robust plans that support driving change in the hub; through better engagement, improved efficiencies or increased capabilities. Acting as a mentor and senior lead to junior Team Leads. Collaborate with Learning and Development to ensure content of training materials and programmes is of maximum value to staff The Candidate This is a fast-paced role which will require an individual that can balance a number of competing priorities whilst remaining focused on core performance indicators. The candidate will be passionate about delivering initiatives that drive performance across the operation and will be someone who is innovative in their approach. The successful candidate will have a keen eye for detail and will be someone who has strong stakeholder management skills. The required skills include: Good organisational skills with the ability to balance multiple priorities in a live operational environment Strong written and verbal communication skills Proven ability to lead and deliver complex plans against deadlines ensuring a clear prioritisation model is implemented Strong eye to detail with proven ability to think outside of the box in order to create long term solutions A self-starter; proactive & always thinking of what the next step needs to be in order to future proof Exceptional stakeholder management, with resilience & maturity to face challenges from senior members of the business & deliver a positive outcome The desired experiences include: Minimum 3 years of experience in function that is focused on driving performance improvements Minimum 5 years in people leadership roles Experience working within Contact Centre environments Experience within high velocity sales management role, able to gain insight from the ear test as well as through data and feedback Why Deliveroo? Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We give people the opportunity to eat what they want, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, seeking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Brazil, Colombia Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The world's largest human resources consulting firm, headquartered in New York City, with main branches in 40+ countries. Over 25,000 employees operate internationally in more than 130 countries. Its services are used by 97% of Fortune 500 companies What You’ll Do Collaborate directly with business stakeholders and domain experts to understand their objectives, processes, constraints, and expected outcomes. Analyze business requirements, documentation, examples, templates, and other reference materials provided by stakeholders. Identify workflows and use cases that can be implemented or improved through Claude Code Skills. Design, implement, test, and maintain reusable Claude Code Skills. Create clear skill instructions, supporting scripts, reference materials, validation logic, and reusable workflow components. Translate complex or ambiguous business processes into structured, executable instructions for AI agents. Evaluate skill behavior using realistic scenarios, test cases, and acceptance criteria Improve the reliability, accuracy, usability, and maintainability of developed skills through iterative testing and stakeholder feedback. Technical leadership over the other engineers: review, direction, unblocking. What You Bring Strong hands-on experience using Claude Code in real software-development or business-workflow scenarios. Practical experience creating Claude Code Skills or comparable reusable capabilities for -AI coding agents. Strong understanding of modern AI engineering patterns, including agentic workflows, tool use, prompt engineering, context engineering, and structured instruction design. Proven hands-on software engineering experience and the ability to build, review, test, and maintain production-quality solutions. Ability to transform business requirements and domain knowledge into clear technical designs and executable workflows. Experience evaluating and improving non-deterministic AI solutions. Ability to own the technical shape of the whole capability, not individual skills: standards, shared components, evaluation and release strategy, backwards compatibility. Ability to define and enforce what a well-formed skill looks like, what belongs in shared infrastructure, and what gets rejected in review. Ability to make and justify platform‑level decisions - including choices around agent harnesses, integration architecture, and build‑versus‑adopt strategies, while providing clear technical rationale for foundational decisions that impact the entire platform Nice to have Hands-on experience with Claude Code, and specifically with authoring Claude Code Skills, plugins, or MCP servers. Evaluation tooling for LLM systems (promptfoo, LangSmith, custom harnesses). Consulting or professional services background. Domain exposure to HR technology, compensation & benefits, payroll, or workforce analytics. Experience building internal developer tooling or standing up a platform capability. Public artefacts: open-source agent tooling, published skills or plugins, conference talks, technical writing on agentic engineering. English level Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Remote; New York; Washington, D.C. ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for an experienced partnerships leader to own and scale ElevenLabs’ strategic relationships with cloud hyperscalers and Systems Integrators, the companies whose platforms, field teams and delivery capacity sit at the heart of how enterprises buy and deploy voice and customer experience AI. You’ll build and manage co-sell and marketplace programmes with AWS, Microsoft Azure and Google Cloud, and build joint GTM and delivery motions with Regional and Global Systems Integrators. The goal: get ElevenLabs deeply embedded in hyperscaler partner networks and SI practices, so that when enterprises modernize their contact centers or build on cloud infrastructure, ElevenLabs is the natural AI voice layer, and partners have both the incentive and the capacity to sell and deliver it. This is a 0→1 build in a high-leverage category. You’ll design co-sell and SI GTM frameworks, drive pipeline with hyperscaler field teams, structure marketplace and private offer motions, negotiate referral, resell and joint-offering agreements with SIs, and own the revenue and pipeline outcomes that come from these relationships. WHAT SUCCESS LOOKS LIKE (FIRST 6-9 MONTHS) - Partner-sourced and influenced revenue: closed-won ARR attributable to hyperscaler and SI relationships - Hyperscaler marketplace and co-sell presence: listings live, co-sell registrations flowing, and active motions running with hyperscaler field teams - SI practice activation: named SI practice leads, certified practitioners and at least one joint offering or solution play in market - Partner-sourced pipeline: qualified opportunities sourced or co-sold through hyperscaler and SI field teams each quarter - Field activation: measurable engagement with hyperscaler sellers and SI client partners and delivery teams, not just BD or alliance leads, translating to warm intros and joint account planning REQUIREMENTS - 8+ years in technology partnerships, alliances, or GTM roles within SaaS or cloud, with direct experience running hyperscaler partner programmes and SI/GSI partnerships - Hands-on experience with hyperscaler co-sell programmes (AWS ISV Accelerate and ACE, Microsoft AI Cloud Partner Programme, Google Cloud Partner Advantage or equivalent) and marketplace operations (listings, private offers, commit burndown). You know how field co-sell actually works, not just the theory - Working knowledge of the SI ecosystem: relationships with practice leads and client partners at GSIs and RSIs, and an understanding of how SIs build practices, attach services to software ARR, and allocate delivery capacity - A builder mindset: experience creating co-sell and SI motions from 0→1, rather than inheriting a mature programme - Comfortable with technical, API-driven products; able to work with solutions engineers to scope solution architectures and articulate ElevenLabs’ value to technical partner audiences - Experience building enablement, certification or reference architectures that activate partner field and delivery teams at scale - Based in North America - Bonus: background combining 3-4 years in a quota-carrying sales or solutions role with 3-4 years in partnerships or alliances; prior experience at a company that successfully scaled through cloud marketplace and SI channels LOCATION This role is remote-first, so it can be executed from anywhere in North America, with the ability to operate in US Eastern and Pacific timezones. If you prefer, you can work from our offices in New York or San Francisco. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Poland Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. What You’ll Do Design, develop, and deliver full-stack applications using Python, FastAPI, React, and TypeScript Build and deploy LLM-powered applications to production using RAG, prompt engineering, structured outputs, and OpenAI APIs Implement vector and hybrid search solutions and document processing for PDF, Word, and Excel files Evaluate, monitor, and improve LLM application quality using Langfuse or similar tools Develop and maintain applications on Azure, including app hosting, VMs, and authentication integrations Collaborate directly with clients, lead sessions with senior non-technical stakeholders, and communicate progress clearly Translate ambiguous business needs into practical technical solutions What You Bring Strong experience with React, TypeScript, and Python, including FastAPI or similar frameworks Proven experience delivering at least one LLM-powered application to production Hands-on experience with RAG, prompt design, structured outputs, and OpenAI APIs Experience with vector or hybrid search and parsing PDF, Word, and Excel documents Familiarity with LLM evaluation and observability tools such as Langfuse Working knowledge of Azure, including VMs, application hosting, and Entra ID / SSO Strong client-facing communication and problem-solving skills Nice to Have MCP server development or Claude / AI agent integrations Experience with PII protection, GDPR, and EU data residency, including tools such as Presidio Background in finance, private equity, or M&A due diligence English level Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Annapolis Junction, MD, United States Job Title Senior‑Level AI Engineer (Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors' solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Senior‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions to support RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) processes Requirements • Bachelor’s degree with eight (8) years of relevant experience, or Master’s degree with six (6) years, or Doctoral degree with four (4) years • Associate’s degree with ten (10) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, logic, and advanced mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational and vector databases • Familiarity with Agile methodologies and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: Annapolis Junction, MD, United States Job Title Mid‑Level AI Engineer (Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Mid‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions supporting RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) activities Requirements • Bachelor’s degree with five (5) years of relevant experience, or Master’s degree with three (3) years, or Doctoral degree with no required experience • Associate’s degree with seven (7) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, and mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational or vector databases • Familiarity with Agile development and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $105,000 – $125,000 • Benefits

Location: Annapolis Junction, MD, United States Job Title Technical Writer Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a highly skilled Technical Writer, for ADG Creative, an IDS subsidiary to support a complex, technical program requiring the development, maintenance, and oversight of mission-critical documentation. This role involves creating clear, accurate, and accessible documentation for both technical and non-technical audiences, supporting engineering, cybersecurity, and acquisition efforts. The ideal candidate will have strong experience interpreting complex technical material and transforming it into structured documentation that supports operational effectiveness and knowledge management. Key Duties • Create and maintain technical documentation including user guides, reference manuals, training materials, requirements documents, reports, SOPs, and briefings • Translate complex technical concepts into clear, concise documentation for both technical and non-technical stakeholders • Research and interpret highly technical source materials such as engineering drawings, system documentation, and operational procedures • Collaborate with subject matter experts (SMEs), engineers, analysts, and technical teams to gather and validate information • Produce documentation supporting defense acquisition programs, cybersecurity initiatives, analytic tradecraft development, and DoD systems • Maintain ownership of documentation lifecycle, ensuring materials remain accurate, up-to-date, and aligned with evolving workflows • Provide expert-level technical writing, editing, and quality assurance across all phases of documentation development • Support knowledge management initiatives to ensure accessibility and usability of documentation • Perform additional duties as assigned Requirements • Bachelor of Science in Systems Engineering, Computer Science, Information Systems, Engineering Science, or related discipline • Four (4) additional years of technical writing experience may substitute for a Bachelor’s degree • Master’s degree may substitute for two (2) years of experience • Seven (7+) years of experience as a Technical Writer supporting programs of similar scope, type, and complexity • Active TS/SCI clearance with Full Scope Polygraph (FS Poly) required • Demonstrated experience developing technical documentation for complex systems or programs • Proficiency in Microsoft Word, PowerPoint, and Visio • Experience using Confluence • Strong communication skills and ability to work with cross-functional technical teams • Writing sample required • Background in cybersecurity is preferred but not required Compensation Salary $85,000k - $100,000k Benefits

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Full-stack means you don't hand off. You connect the sources, model the data, transform it, build the dashboard and explain the numbers to the customer who paid for them, on three to six enterprise accounts at a time. If you've been the analyst who also had to be the analytics engineer and the account lead, and you liked it, this is that job with a platform and AI tooling behind you. What you'll do Own the chain for every account: source connection, ClickHouse and dbt model, QA, dashboard, weekly customer call. Write SQL every day, and Python when a transformation or a delivery needs code. Build reporting in Looker, Power BI or Tableau, and the model under it, so the numbers survive a finance review. Find what's off in the data before the customer does, and say so plainly. Use Claude Code to move faster and check its work harder. You'll fit if You have 3+ years as a marketing analyst, data analyst, BI developer or analytics engineer, with customers you had to keep, external or internal. Expert SQL, working Python, one BI tool at expert level. You've worked with several marketing sources at once (ad platforms, GA4, CRM), or can show the same with another messy multi-source domain. English C1 or better. You present your own work. Helps dbt in production. Attribution or MMM. Agency background. What we offer Remote-first environment Medical and dental benefits 401(k) plan Paid time off and US holidays Professional development reimbursement

Location: OH, United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.