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Location: Arlington, VA, United States Job Title Resource Management Analyst Why IDS? IDS believes in resolving conflict and 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 Gov Site (NCR) 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 Resource Management Analyst to support financial planning, budgeting, execution, and defense acquisition reporting across complex government programs. This role supports senior leadership by preparing programmatic financial documentation, analyzing resource requirements, managing multi-year budget planning cycles, and supporting PPBE and POM development. The Resource Management Analyst ensures accurate, timely financial data and contributes to strategic resource decision-making. Key Duties • Support planning, programming, budgeting, and execution (PPBE) processes, including documentation, tracking, and reporting. • Assist in developing Program Objective Memorandum (POM) inputs, resource justification materials, and financial execution reports. • Conduct financial analysis to support program funding strategies, cost projections, and resource prioritization. • Prepare acquisition-related documentation, resource reports, and metrics for leadership review. • Coordinate with internal and external stakeholders to gather data, analyze requirements, and support informed financial decisions. • Maintain accurate financial records, audit support documentation, and program budget tracking tools. • Identify funding issues, risks, and mitigation options to support program continuity. • Assist with multi-year budget planning, forecasting, and alignment with organizational priorities. Requirements • Bachelor’s degree in Finance, Business Administration, Accounting, or a related field. • 5–7 years of experience in: • Defense acquisition guidance and reporting; or • Planning, Programming, Budgeting & Execution (PPBE) management; or • Program Objective Memorandum (POM) preparation. • SECRET clearance required. Compensation This position is contingent upon award Questions? Please reach out to lolney@idsinternational.com for additional questions or information.

Location: Columbia, MD, United States Production Artist Locations Columbia, MD Shifts Available Please note, candidates must be flexible. Work schedules are generally standard business hours; however, project deadlines and client needs may occasionally require schedule adjustments. Job Description ADG Creative, an IDS subsidiary is seeking a talented and detail-oriented Production Artist to support the development of high-quality creative and branded communications across multiple formats and channels. This role is ideal for a design professional who can create polished, high-quality work within established brand systems, produce presentations, digital assets, social graphics, marketing materials, branded templates, and other visual communications for government and commercial clients. A portfolio demonstrating strong visual design skills, presentation development, typography, and layout expertise is required for consideration. Key Duties • Produce high-quality creative assets across presentations, social media, marketing collateral, digital campaigns, templates, and branded communications. • Extend and apply established brand standards across new deliverables while maintaining visual consistency and attention to detail. • Create, maintain, and improve PowerPoint, Word, Canva, and Adobe templates that are flexible, editable, intuitive, and visually polished. • Prepare graphics and visual assets for websites, digital marketing initiatives, presentations, print materials, and internal communications. • Adapt, resize, and reformat existing creative for multiple audiences, platforms, and delivery channels while preserving design integrity. • Manage multiple projects and quick-turn creative requests while delivering work that consistently meets quality standards. • Ensure layouts, typography, imagery, spacing, hierarchy, and overall design execution align with established brand guidelines and best practices. • Prepare production-ready files and apply technical specifications required for both digital and print distribution. • Conduct thorough quality assurance reviews to ensure accuracy, consistency, usability, and technical readiness prior to final delivery. • Collaborate with marketing and business stakeholders to translate concepts into visually compelling deliverables. Requirements • Bachelor of Fine Arts (BFA) or Bachelor of Arts (BA) degree required. Four (4) additional years of relevant experience may be substituted for the degree. • Minimum seven (7) years of professional graphic design experience, preferably within an agency, consulting, professional services, or in-house marketing environment. • Portfolio demonstrating exceptional typography, layout, presentation design, and visual hierarchy skills. • Experience designing within established brand systems and adapting creative across multiple formats and channels. • Strong organizational skills with exceptional attention to detail and commitment to accuracy. • Working knowledge of digital and print production best practices. Technology • Advanced proficiency with Adobe Creative Cloud, including InDesign, Illustrator, Photoshop, and Acrobat. • Advanced PowerPoint skills, including experience creating polished presentations, master slides, and editable templates. • Experience designing and developing content within the Microsoft Office suite. • Familiarity with Adobe XD, Sketch, or Figma is preferred. Compensation • Salary Range: $85,000 - $95,000 • Comprehensive Benefits Package Work Environment • Full-Time Position • Hybrid work environment with in-person collaboration in Columbia, MD and opportunities for remote work when appropriate.

Location: Columbia, MD, United States Job Title Part-Time Contract Security Officer (CSSO) Why IDS? IDS believes in resolving conflict and building innovative approaches to solve complex challenges. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Location Columbia, MD / Remote Shifts Available Part-Time Please note, candidates must be flexible. Work schedules may vary based on customer requirements and business needs. Job Description ADG Creative, an IDS subsidiary is seeking an experienced Part-Time Contract Security Officer (CSSO) to support the company's industrial security program within a highly regulated cleared environment. The CSSO will support personnel security, classified information protection, physical security, security education, compliance activities, and daily security operations. The ideal candidate will have experience processing personnel security actions, maintaining security records, supporting compliance requirements, and working independently within a fast-paced security environment. Key Duties • Support personnel security processing activities, including clearance actions, transfers, reinvestigations, debriefings, and related security requirements. • Maintain personnel security records and supporting documentation. • Assist with classified document accountability, safeguarding, transmission, and storage requirements. • Support facility security, access control, visitor management, and security inspections. • Conduct and support security briefings, training, and security awareness activities. • Identify, document, and escalate security incidents and potential security concerns as appropriate. • Assist with government and customer security reviews, inspections, and audits. • Ensure compliance with applicable government security regulations, policies, and contractual requirements. • Provide security guidance to cleared personnel and support daily security operations. Requirements • Active TS/SCI clearance with Full-Scope Polygraph. • 3-5 years of industrial security and/or personnel security experience in a cleared environment. • Experience processing personnel security actions and maintaining security records. • Working knowledge of NISPOM and other applicable security regulations. • Experience supporting government security inspections, audits, or compliance reviews. • Strong organizational, communication, and documentation skills. • Ability to handle sensitive information with discretion. • Ability to work independently and exercise sound judgment. Preferred Qualifications • Experience supporting intelligence community or other highly classified programs. • Experience working with government security representatives. • Familiarity with personnel security processing systems. • Experience supporting Insider Threat or related security programs. • Security-related training, certifications, or professional development coursework. Compensation • $45.00 - $60.00 per hour

Location: Fort Bragg, NC, United States Job Title Security Specialist 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 Fort Bragg, NC 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 Security Specialist Personnel professional to support Army physical security operations and administrative requirements. The selected candidate will support physical security activities, maintain personnel information, coordinate required documentation, and assist customers and visitors while ensuring compliance with Army physical security policies and procedures. Key Duties • Support Army physical security activities. • Manage information related to contractor staff. • Provide customer service support to visitors and personnel. • Clearly articulate instructions and information to visitors and provide accurate directions. • Utilize Microsoft Office Suite and other computer-based systems to support physical security requirements. Requirements • Secret clearance. • Associate degree. Six years military experience or five years of physical security experience may substitute for academic degree. • Five years of experience in Army physical security activities. • Knowledge of Army Physical Security policies and procedures. • Knowledge of customer service practices and principles. • Strong computer and Microsoft Office Suite skills. • Ability to manage information of contractor staff. • Understanding of effective customer service orientation. • Great attention to detail. • Ability to clearly articulate instructions and information to visitors and provide accurate directions. • Completed Defense Information Systems for Security (DISS) training and required certifications for user account access ability. Preferred Qualifications • Knowledge of concepts and theories of Physical Security programs, principles, and practices used to review, analyze, and resolve physical security issues. Compensation • Competitive Hourly Pay • Benefits

Location: Fort Bragg, NC, United States Job Title Visitor Security Control Specialist 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 Fort Bragg, NC 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 Visitor Security Control Specialist to support visitor access control and physical security operations. The selected candidate will assist visitors, provide security-related information and directions, maintain required records, and support Army physical security requirements while ensuring compliance with established policies and procedures. Key Duties • Support physical security activities. • Provide accurate directions and information to visitors. • Manage information related to contractor staff. • Provide customer service support to visitors and personnel. • Utilize Microsoft Office Suite and other computer-based systems to support security requirements. • Support requirements in accordance with Army Physical Security policies and procedures. Requirements • Secret clearance. • High school diploma. • One year of experience in physical security activities. • Knowledge of Army Physical Security policies and procedures. • Knowledge of customer service practices and principles. • Strong computer and Microsoft Office Suite skills. • Ability to manage information of Contractor staff. • Understand effective customer services orientation. • Great attention to detail. • Ability to provide accurate directions and information to visitors. • Completed Defense Information Systems for Security (DISS) training and required certifications for user account access ability. Preferred Qualifications • Knowledge of concepts and theories of Physical Security programs, principles and practices used to review, analyze, and resolve physical security issues. Compensation • Competitive Hourly Pay • Benefits

Location: Muscatatuck, IN, United States Job Title Exercise Planner 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 Muscatatuck, Indiana 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 an Exercise Planner to support the planning, coordination, and execution of cyber training events and exercises. The selected candidate will work with stakeholders to develop exercise objectives, coordinate resources, manage schedules, and ensure successful execution of training activities. This position requires strong project management skills and the ability to manage multiple projects simultaneously while supporting cybersecurity training initiatives within the Department of Defense community. The ideal candidate will be capable of working independently and collaboratively to develop and deliver realistic and effective cyber training events. Key Duties • Plan, coordinate, and execute cyber training events and exercises. • Manage multiple projects with varying scopes, requirements, and timelines. • Develop exercise timelines, milestones, and supporting documentation. • Coordinate with stakeholders to ensure training objectives are achieved. • Support the design and execution of cyber training scenarios. • Track exercise planning activities and ensure deliverables are completed on schedule. • Collaborate with internal and external participants to support exercise execution. • Assist in resource coordination and scheduling for training events. • Monitor project progress and provide status updates to leadership. • Support after-action reviews and exercise improvement efforts. Requirements • Must have an Active Secret clearance. • Bachelor's degree or equivalent experience. • Ability to manage multiple projects with different scopes and timelines. • Strong project management skills, with the ability to plan, execute, and manage cyber training scenarios effectively. • Ability to work independently and in a team environment with minimal supervision. • Experience in planning and managing cybersecurity training events within the DoD community. Compensation • Competitive Hourly Pay • Benefits

Location: Muscatatuck, IN, United States Job Title Test & Evaluation (T&E) Scientist III 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 Muscatatuck, Indiana 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 Test & Evaluation (T&E) Scientist III to support the planning, execution, oversight, and assessment of complex Department of Defense test and evaluation activities. The selected candidate will provide technical leadership for developmental and operational test events involving cyber, electronic warfare, cyber-physical, and multi-domain capabilities. This role will support advanced training and test environments, coordinate with senior government stakeholders, and help ensure test objectives are effectively planned, executed, documented, and evaluated. The ideal candidate will bring extensive experience supporting DoD test programs and evaluating emerging technologies in operationally relevant environments. Key Duties • Plan, coordinate, and oversee developmental test and evaluation (DT&E) and operational test and evaluation (OT&E) activities. • Support cyber, electronic warfare, cyber-physical, and multi-domain test events. • Develop test objectives, methodologies, success criteria, and evaluation approaches. • Coordinate test and training events with government stakeholders and mission partners. • Support the integration and evaluation of capabilities within cyber-physical and live-virtual-constructive (LVC) environments. • Analyze test results and assess system performance against established requirements. • Prepare test reports, after-action reviews, lessons learned, and technical documentation. • Develop and deliver briefings for government customers and senior leadership. • Support test planning activities for operational and developmental assessments. • Coordinate with technical teams to support OT/IT integration and test execution. • Provide recommendations to improve testing effectiveness and mission outcomes. Requirements • Master's degree in Engineering, Computer Science, Cybersecurity, Systems Analysis, or a related technical discipline required. • PhD in a related field preferred. • DoDM 8140.03 IAT II certification or higher required. • Active TS/SCI security clearance required. • Minimum of twelve (12) years of progressive experience in DoD test and evaluation, RDT&E program management, or cyber range/cyber-physical system test operations supporting DoD programs. • Demonstrated senior-level experience planning, overseeing, and evaluating DT&E or OT&E events for cyber, electronic warfare, or multi-domain operations capabilities. • Demonstrated experience coordinating test or training events with senior DoD stakeholders, including CYBERCOM-level organizations, joint or coalition commands, or interagency partners. • Demonstrated experience with cyber-physical range architectures, live-virtual-constructive (LVC) test environments, and OT/IT system integration in a DoD training or test environment. • Demonstrated analytical and documentation experience including test reports, after-action reviews, lessons learned deliverables, and senior leader briefings. • Electronic Warfare systems experience from military service or DoD defense contractor experience preferred. • DoD program management experience and PMP certification or equivalent preferred. Compensation • Competitive Hourly Pay • Benefits

Location: Multiple Countries YOUR LANGUAGE SKILLS COULD BE THE START OF SOMETHING MORE. Every day, interpreters help people understand one another, ask important questions, and be heard. Your language skills could be your first step toward a rewarding career in professional interpreting. What is the CLS Interpreter Academy? The CLS Interpreter Academy is a training program designed for bilingual individuals and early-career interpreters who want to build their professional interpreting skills, knowledge, and confidence. Open worldwide Remote opportunities All languages welcome Training provided No previous interpreting experience required Technical Requirements 90% English proficiency Stable internet connection USB wired headset Windows 10 or later or Mac Whether you're bilingual and exploring interpreting for the first time or you're just starting your journey, this could be your opportunity to take the next step. Interested in joining? Apply today. One of our recruiters will contact you with more information about the program and next steps. Explore the program and review the requirements.

Location: Central Europe; Portugal; Germany; Spain Workplace: Remote SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.  - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS?  - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.  - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. As an Account Executive EMEA/MENA, you will be responsible for the growth of our enterprise accounts in the region, ensuring all key metrics are delivered. With identified accounts, you will ensure revenue growth, customer success, and long-term customer partnership. In addition, you will provide direction and recommendations to the extended territory team and leadership to increase the region's efficiencies, structure, and strategy, ensuring individual and group success. YOU WILL BE ACCOUNTABLE FOR EXCELLENCE TO: - Own the full sales cycle from prospecting and qualification through trial, negotiation, closing, and handover. - Consistently achieve and exceed new business targets. - Build and manage a healthy pipeline through self-generated opportunities. - Develop territory strategy and specific account plans, expand install base and acquire net new customers, create and execute demand generation plans within a territory, and be accountable for all aspects of taking down the number as if you genuinely owned SplitMetrics. - Create a strong partnership with BDR, Marketing, Solutions, Product, Customer Success, Leadership and Legal to win strategic accounts. - Leverage internal and external tools to maximize customer information – Maximize success with a world-class SaaS toolkit (access to Gong, Hubspot, Linkedin Sales Navigator, AppMagic), and provide feedback on products regarding customers' issues and competitive trends. - Represent the company at industry events and conferences, building relationships and generating new business opportunities. - Maintain strong deal hygiene, forecasting accuracy, and CRM discipline. - Take ownership of performance, continuously improve sales skills, and actively seek and apply coaching and feedback. ABOUT YOU: We want to meet individuals passionate about the mobile marketing world, who have experience working with app publishers, agencies and brands and have a track record in owning large multi-year deals from end to end. - 3+ years of experience in sales roles, with a strong track record in mobile marketing or advertising technology. - A genuine passion for closing the deals with a ruthless focus on a customer. - Proven ability to sell complex SaaS solutions to multiple stakeholders and senior decision-makers. - A systematic approach in sales (MEDDIC). - Strong experience in outbound prospecting and pipeline generation. - A commitment to being an adviser and business development partner for a customer. - A consultative selling mindset - able to challenge customer thinking, uncover underlying business needs, and position solutions based on value and business impact. - Highly accountable, proactive, and results-oriented, with a strong sense of ownership. - Excellent written and verbal communication skills. - Curious, creative thinker, and open-minded character with a passion for challenges. - Strong understanding of the mobile marketing, app growth, and advertising ecosystem, with a genuine curiosity to continuously follow industry trends, market shifts, competitors, and emerging technologies. - Fluent English. WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

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: (Multiple States), United States About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Competitive compensation Medical and dental benefits 401K plan Unlimited PTO Paid holidays Professional development reimbursement

Location: (Multiple States), United States About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Competitive compensation Medical and dental benefits 401K plan Unlimited PTO Paid holidays Professional development reimbursement

Location: Serbia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Georgia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Armenia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Brazil We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Argentina We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Mexico AI Product Builder Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. About the role As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing. Responsibilities Own the product area end to end, from idea to delivery, and define how the roadmap evolves Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people Run customer discovery yourself and turn it into roadmap decisions Define and measure the metrics that prove the product caused someone to act Build and maintain automated workflows using AI tools, scripting and the modern data stack Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements Qualifications Product ownership experience - able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use Demonstrated use of AI tools in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate Experience building an AI agent and making it reliable in production Marketing or revenue data domain experience, and you have computed those metrics yourself rather than receiving them from an analyst Comfortable working with engineers as a peer rather than across a handoff Strong SQL ; Python for data processing and automation Fluent English - there are customer calls and escalations in this role Availability to overlap US Pacific business hours (or at least East) Nice to have Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience working directly with clients on technical requirements BI tools (e.g. Superset) for operational reporting Process A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises Modern AI tech stack and freedom to experiment High-velocity team where you will constantly learn and scale your skills High autonomy and ownership - we care about outcomes, not hours AI-first, collaborative, no-bureaucracy culture with a technically strong, international team 20 working days of PTO per year US holidays and additional days off Professional development reimbursement