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Location: Türkiye Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Armenia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders. WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Romania Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Canada; Utah; New York; San Francisco; Washington; Georgia; Ohio; Virginia; North Carolina; Cambridge; Florida; Texas; Illinois; Mexico; New Jersey Workplace: Remote Pragmatike is on a mission to help early-stage startups and scaleups win the talent war and build exceptional tech teams. ABOUT THE ROLE We're looking for a Sales Development Representative (SDR) to help build our outbound sales engine as we enter our next phase of growth. We're looking for someone entrepreneurial, resourceful, and relentless—someone who enjoys opening doors, building relationships, and creating opportunities from scratch. You'll work directly with the founders to identify and engage startup founders, CTOs, and hiring leaders across Europe and North America, helping them discover how Pragmatike can accelerate their hiring. WHY THIS ROLE IS DIFFERENT - Build the sales engine from zero to one: Help define our outbound strategy, messaging, prospecting workflows, and sales playbook. - Direct access to founders: Work closely with company leadership, influence go-to-market strategy, and see your impact immediately. - High ownership: Experiment, iterate, and continuously improve how we generate new business. - Join a fast-growing company: Become an early member of the team with the opportunity to grow alongside the business. YOU’RE A FIT IF YOU… - Have 2+ years of experience in outbound sales, business development, or SDR roles, ideally selling B2B services or SaaS. - Enjoy prospecting and consistently generating new opportunities through LinkedIn, email, and cold outreach. - Are highly organized, proactive, and comfortable managing your own pipeline. - Communicate exceptionally well, both in writing and verbally, with a consultative approach. - Thrive in startup environments where speed, ownership, and experimentation are valued. - Are self-motivated and comfortable working remotely with minimal supervision. - Have excellent English communication skills. NICE TO HAVE - Experience selling recruitment, staffing, HRTech, or talent acquisition solutions. - Previous experience working with startups, founders, or technology companies. - Familiarity with tools such as LinkedIn Sales Navigator, Apollo, HubSpot, Clay, or similar outbound platforms. - Interest in AI, startups, and the future of work. COMPENSATION & BENEFITS - Flexible freelance contract with competitive performance-based compensation. - Opportunity to shape Pragmatike's outbound sales function from the ground up. - Fully remote work environment with flexible hours. - Direct collaboration with founders and meaningful ownership from day one. - High-growth environment with significant career progression opportunities. Ready to help startups build world-class teams while building Pragmatike's sales engine? Apply now and join us at the beginning of our journey. 🍜🏴‍☠️

Location: Portugal; San Francisco; France / Paris Workplace: Remote FOUNDING TECH RECRUITER (FREELANCE) ABOUT PRAGMATIKE Pragmatike is on a mission to help early-stage startups, and scaelups — win the talent war and build exceptional tech teams.   ABOUT THE ROLE We’re looking for a Founding Tech Recruiter to build out our team as we embark on our next phase of growth. Someone smart — connected to the tech world — that moves, operates fast and efficiently — a superstar, a pirate. You'll operate as a strategic partner in the heart of the startup ecosystem, pioneering how we find, attract, and engage the world’s best talent.   WHY THIS ROLE IS DIFFERENT - Shape the future of tech hiring: Engage directly with the startup and tech talent community, and become a visible advocate for Pragmatike. - Zero-to-one impact: Design the recruiting systems, processes, and standards from scratch, and partner with product and engineering to refine our hiring approach. - High leverage: Recruit across a variety of functions, from engineering to go-to-market, and see your impact on the business firsthand.   YOU’RE A FIT IF YOU… - Have 5+ years of experience recruiting for technical roles in-house or at a search agency - Are at ease in startup environments and thrive amid ambiguity, rapid iteration, and high growth - Communicate clearly—both written and verbally—and make every candidate feel valued - Are well-connected, respected by peers, and have a personal brand in the recruiting community (e.g., active LinkedIn, trusted network) - Care deeply about quality, processes, and candidate experience - Are excited to work flexibly—this role is fully remote and freelance-friendly   NICE TO HAVE - Previous experience recruiting at early-stage startups or high-growth tech companies - Familiarity with AI, SaaS, or B2B talent markets - Enjoy writing or speaking about recruiting, talent, or startup culture   COMPENSATION & BENEFITS - Flexible freelance contract with autonomy - Direct impact on company growth and culture - Opportunity to be Pragmatike’s first recruiter and shape our future - Fully remote work environment and flexible hours - Direct partnership with founders   Ready to shape the future of tech hiring at Pragmatike? Apply now and join us at the beginning of our journey. 🍜 🏴‍☠️