About the Role

The Staff Qualitative Researcher is Superbet's most senior practitioner of human-centred inquiry. This is a hands-on, high-output IC role. You are the person who knows how to get to the truth of a user's experience: their mental models, their anxieties, their unspoken expectations, their moments of delight and frustration.

You will lead qualitative research across the most strategically important and ambiguous product questions Superbet faces - from understanding how new markets experience sports for the first time, to uncovering the emotional dynamics of live in-play gambling, to defining what responsible gaming actually feels like from a user's perspective. You will work closely with the Principal Quant Researcher and the Research Manager to ensure qualitative and quantitative evidence are always richer together than apart.

You bring methodological mastery, creative curiosity, and the kind of presence that makes participants forget they're being observed and leaders believe you shape company wide narratives. You also bring a future positive mindset: you are actively integrating AI tools into your workflow to do more, faster, without sacrificing the depth that makes qual irreplaceable. You know when AI is helpful and when it is not and can help junior researchers make decisions around when to use them. 

What You Will Own

Deep Qualitative Research Execution

• Design and independently execute complex, multi-method qualitative research programmes spanning generative discovery, concept exploration, and evaluative depth - not just individual studies but longitudinal programmes of inquiry.
• Lead the most high-stakes and ambiguous research briefs: new market entry, new product category launches, trust and safety research, responsible gambling insights, and strategic bets where the organisation has the least existing evidence.
• Operate the full qualitative toolkit with mastery: semi-structured and unstructured in-depth interviews, contextual inquiry and ethnographic observation, diary studies and longitudinal panels, participatory design workshops, focus groups, co-creation sessions, and remote moderated/unmoderated studies.
• You have deep expertise in mental models, perception, jobs to be done and combining them to paint a rich psychological and workflow design. 
• Own recruitment strategy end-to-end: define screeners, work with research ops and vendors, build proprietary panels where needed, and ensure participant samples are representative of the diversity of Superbet's user base across markets.
• Produce analysis that goes beyond surface themes: you apply systematic coding, grounded theory approaches, interpretive phenomenological analysis, or jobs-to-be-done frameworks -  selecting the analytical lens that fits the question, not the one that's familiar.
• You inspire product teams to take action and drive progress. You can handle different levels of exposure to research within the company and convert colleagues to champions. 

AI-Enhanced Qualitative Workflows

• Lead the integration of AI tooling into Superbet's qualitative research practice - not as a replacement for human interpretation but as a force multiplier that increases throughput and analytical depth.
• Deploy LLM-assisted transcript analysis pipelines that handle first-pass thematic coding, anomaly flagging, and cross-participant pattern detection - freeing analyst time for higher-order interpretation.
• Use AI tools for rapid synthesis across large corpora of qual data: customer feedback, support tickets, app reviews, social listening, and interview transcripts - triangulating signals that would otherwise require weeks of manual work.
• Critically evaluate the output of AI-assisted analysis for bias, hallucination, and over-compression - maintaining methodological integrity while embracing efficiency.
• Build workflows and documentation that allow the broader team to use AI-assisted qual tools responsibly, and run training sessions that upskill colleagues on both the power and the limits of these tools.

Strategic Insight Generation & Storytelling

• Translate raw qualitative data into insight frameworks that have a life beyond the single study: mental model maps, user need taxonomies, experience principles, and behavioural archetypes that inform multiple product teams over multiple quarters.
• Craft research deliverables that move people — not slide decks of quotes, but evidence-driven narratives that make stakeholders genuinely see the world through the user's eyes.
• Partner with the Principal Quant Researcher to design mixed-methods programmes where qual findings generate hypotheses that quant can test at scale, and where quant anomalies trigger qual investigation.
• Present research to senior and executive stakeholders with confidence and authority — you know how to hold the room, handle pushback on findings, and advocate for the user even when their experience is inconvenient for the business.
• Maintain a living qualitative insights repository: tag and cross-reference findings so that past research informs present decisions and the organisation's qualitative knowledge compounds over time.

Research Quality, Standards & Community

• Set the qualitative methodological bar for the research team: review study designs, discussion guides, and analysis from junior and mid-level researchers - providing specific, developmental feedback that elevates their craft.
• Develop and maintain qualitative research standards documentation: best practices for moderation, coding, synthesis, and reporting that are practical, not theoretical.
• Act as a qualitative research community builder within Superbet: run internal workshops, share cutting-edge methods from the field, and make qualitative research legible and valued by non-research partners.
• Identify opportunities to democratise qualitative methods across Product and Design teams, building guardrails and templates that enable safe self-serve research without compromising rigour.

What We Are Looking For

Essential Experience

• 8+ years of UX research experience with a clear depth specialisation in qualitative methods -  ideally with experience in both generative and evaluative contexts across the full product development lifecycle.
• Mastery of qualitative data collection: exceptional moderation skills across IDIs, focus groups, diary studies, ethnographic observation, and co-design facilitation. You are comfortable in the field, in a lab, and on a video call.
• Deep qualitative analysis expertise: systematic thematic analysis, grounded theory, affinity diagramming at scale, IPA, and the judgment to know when interpretive depth is needed versus surface-level synthesis.
• Strong mixed-methods fluency: experience designing studies that integrate qual and quant, and the ability to have a credible technical conversation with quantitative researchers about their methodology.
• Demonstrated experience using AI tools in qualitative workflows - not just awareness, but real implementation with critical assessment of quality and validity.
• A track record of qualitative research that influenced major product or strategy decisions, with specific examples you can speak to in depth.
• Experience working across multiple markets or cultural contexts - essential given Superbet's multi-country footprint.

Skills & Mindset

• World-class moderator: You have a gift for putting participants at ease and creating the conditions where genuine, unguarded truth emerges. You know when to probe, when to wait, and when to redirect.
• Interpretive depth: You go beyond what users say to understand what they mean — and you can defend your interpretations with analytical rigour, not just instinct.
• AI-enhanced, not AI-dependent: You use AI to go faster and deeper, but your analytical judgement is irreplaceable and you know it. You apply AI tools critically, not uncritically.
• Generative thinker: You don't just answer the research question - you reframe it when necessary, spot adjacent insights the brief didn't ask for, and bring back richer evidence than expected.
• Empathy with edge: You care deeply about users and can advocate for them powerfully - but you're not naive. You understand the commercial context and know how to make the business case for user-centred decisions.
• Cultural intelligence: You are sensitive to the ways that culture shapes how people talk about their experiences, and you adjust your research approach accordingly.
• Org Mover - Your research is not theory alone, you know how to make things tangible, bite sized and move people and work forward. 
• Embrace difficult conversations - Driving research impact is as much about doing good research as it is about convincing people to see things your way. You work with people both easy and difficult to collaborate with to make great experiences come alive. 

Nice to Have

• MSc or PhD in Psychology, Anthropology, Sociology, HCI, Cultural Studies, or a related human behaviour field.
• Experience in high intensity consumer products, marketplaces, gaming, financial services, with some degree of experience in trust and safety is useful. 
• Experience with specialist qualitative methods: semiotics, discourse analysis, narrative research, or video ethnography.
• Proficiency with qualitative analysis tools: Dovetail, NVivo, MAXQDA, Atlas.ti, Reduct.
• Experience building or managing qualitative research panels or longitudinal participant communities.
• Published work or conference presentations in a qualitative research or HCI venue.

Why This Role at Superbet

Sports is one of the richest contexts for qualitative research: the experience is emotionally intense, socially embedded, culturally specific, and morally complex. Users have contradictory motivations. Their stated and actual behaviour diverge. The moments of joy and frustration are extreme. Understanding all of this deeply, not just what users click, but why they feel what they feel - is what separates good product decisions from great ones.

• Access to a diverse, passionate user base across 12+ markets - every cultural context brings new research challenges.
• A team that values qualitative rigour and won't ask you to reduce everything to a number.
• Senior visibility: your insights will be read by the CPO and product leadership, not just deposited in a repo.
• A Principal Quant Researcher as a genuine peer - someone to build with, argue with, and create better mixed-methods evidence with.
• Competitive compensation at Staff IC level with equity and a genuine investment in your development as a researcher.

Highlights:

Role: Senior ML-Engineer, Finance

Location: Spain, Remote

Language: Strong English required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.

This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.

What You’ll Do

• Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
• Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
• Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
• Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
• Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
• Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
• Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
• Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.

Challenges You'll Navigate

• At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
• A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
• All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
• Proven experience with large-scale web scraping and data pipeline construction
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
• Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Infra: linux server admin, distributed computation

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights:

Role: Senior ML-Engineer

Location: Spain, Remote

Language: Russian-speaking team; Strong English required (B2)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.

We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.

The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.

What You’ll Do

• Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
• Select the most appropriate ML/LLM approaches or propose alternative solutions.
• Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
• Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
• Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need through forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year and integrates with essential tools like Slack, Zapier, and HubSpot.

About the role

We are looking for a Senior Product Manager to own and evolve Integrations, the surface that connects every Typeform experience to the tools customers use to run their business.

Integrations is where Typeform stops being a destination and becomes part of the customer’s stack. Every response captured can flow into a CRM, a marketing tool, a database, a chat, or a spreadsheet, wherever the next step happens. That layer needs to be deep, dependable, and easy to extend, at the scale of 500 million responses a year for 150,000 businesses across the long tail of tools they rely on. It has to be reliable, observable, secure, and able to scale as customer stacks become more sophisticated.

In this role, you will own Integrations end to end. You will evolve the platform while partnering with Automations and Typeform AI to make the integrations layer the substrate for both customer configured and agentic workflows.

Your work will define how Typeform plugs into the rest of the SaaS world for tens of thousands of customers, and how AI agents take action through it.

About the team

The Integrations team owns the layer that connects Typeform to the broader SaaS ecosystem: the connectors, auth flows, the action catalog, and the partner experience that makes it all work. Hundreds of millions of integration calls flow through this surface every year.

The team sits inside the Workflow Automations group alongside Automations, and works closely with Data Capture upstream, as well as with the Partnerships team and external partners across the long tail of tools customers rely on.

Things you will do

• Own both data out and data in integrations end to end, and drive the strategy in line with the Workflow Automations group vision and priorities
• Build and maintain traditional API integrations, as well as agentic MCP based integrations
• Evolve the platform so customers, partners, and agents can build on it with confidence
• Deepen priority integrations, the ones that move the most business, and define how new ones are onboarded
• Partner with Automations to make integrations the substrate AI agents act through, without fragmenting the surface
• Set the architectural direction for the integrations platform remit, partnering closely with engineering on the trade offs that come with it
• Define and own the next phase of Integrations, with a clear thesis and quarterly sequencing
• Influence group level decisions through compelling storytelling and strategic framing
• Monitor competitors, market trends, and shifts in customer expectations, including the fast moving AI landscape, to identify opportunities and guide strategy
• Work cross functionally with engineering, design, research, marketing, customer success, sales, and Partnerships to align on priorities and technical direction
• Leverage AI tools to accelerate discovery, analysis, documentation, and decision making

What you already bring to the table

• A strategic thinker with strong product instincts and high ownership
• Platform PM experience with real depth; you have built or shipped integration platforms, connector frameworks, or developer facing surfaces, and understand what it takes to scale them
• Deep familiarity with developer facing surfaces, including APIs, webhooks, SDKs, OAuth and auth flows, and event systems
• Familiarity with agents, LLMs, context management, and RAG
• An understanding of how integrations underpin workflow automation and agentic action, alongside a strong point of view on the platform shift happening across both
• An AI native mindset; you actively build with LLMs, agents, and tool use frameworks, and treat AI fluency as a core multiplier rather than a buzzword
• Technical depth and comfort engaging with engineers on the underlying mechanics of an integrations product, including auth flows, connector architecture, rate limiting, retries, and event flows, not just the abstraction layer
• Comfort with technical trade off discussions around reliability, observability, performance, and partner contract changes
• Strong product sense and the ability to identify what makes an integrations surface feel reliable, deep, and effortless
• A customer first mindset with strong discovery and validation skills; able to pair early customer signals with data to test ideas quickly
• Strong storytelling and strategic framing skills; able to align and influence cross functional teams and leadership through clarity and narrative
• A strong triad collaborator who builds solid relationships with engineering and design, and leads through influence
• High agency and a proactive mindset
• Strong product craft, including writing clear specifications and managing complex cross team initiatives
• A data driven approach to decision making and prioritisation; able to define the measurement model for the Integrations surface without relying on a data analyst for every question
• Comfort operating in ambiguous environments and defining direction where none exists
• Experience working in distributed and remote teams, with the ability to maintain alignment and momentum asynchronously
• A mindset of continuous learning, improvement, and collaboration

Nice to have

• Experience shipping integration platforms or iPaaS products such as Zapier, Make, Workato, Tray.io, or n8n
• Experience as a PM on a third party integrations surface inside a horizontal SaaS ecosystem such as Slack, HubSpot, Salesforce, or Notion
• Experience designing developer platforms, including SDKs, developer portals, marketplaces, and partner programs
• Experience launching an LLM powered or agentic feature where integrations were the action surface
• Experience working with external partners and partner business development teams

This is where you will make an impact

Integrations is where Typeform stops being a destination and becomes part of the customer’s stack. You will own the layer that connects 150,000 businesses to the hundreds of tools they rely on: the connectors, auth, the action catalog, and the platform that makes it all work.

You will also help lead the shift from manual connections to agentic action, the moment integrations stop being a checkbox and become the substrate every workflow and every agent runs through.

At Datadog, we leverage AI across our observability platform to improve monitoring, speed up incident resolution, and ensure data reliability for cloud applications.

Datadog’s Deployment Gates team builds customer-facing systems that decide whether software should ship to production. Deployment Gates sit directly in customers’ CI/CD pipelines and use observability data to answer one of the hardest questions in software delivery:
Given everything we know right now, is this deployment safe to proceed?

In this role, you will:

• Work on an analysis service that prevents incidents by detecting faulty software changes in production before they reach clients

• Lead the design of progressive deployment automation, starting with zero-setup, conservative AI rules and evolving toward adaptive gates that learn from incidents and organizational patterns
• Design the foundation for autonomous remediation, connecting what changed in code to what broke in production, from blocking and rolling back unsafe deployments to proposing fixes and enforcing policies

This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What you’ll do:

• Build AI-driven deployment gates: Design and ship decision systems that evaluate customer deployments using CI/CD context and Datadog telemetry, producing safe, explainable allow/block outcomes
• Own evals and rollout: Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement
• Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data
• Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
• Integrate across the Datadog platform: Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents
• Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services

Who you are:

• A Product‑minded engineer who ships AI to production
• You have 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
• You are proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, on‑call rotation)
• You have proven experience delivering software based on LLM/agent features to production
• You are comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
• An End-to-end AI implementation owner: You understands the end-to-end LLM product lifecycle
• Fluent with offline/online evals for AI systems
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

About the Role

We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.

You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.

This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.

What You'll Achieve

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
• Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
• Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
• Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
• Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
• Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
• Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
• Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
• Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.

What You’ll Need to Be Successful

• Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
• Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
• Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
• Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
• Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of  GDPR, NIST, and SOC 2.
• Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. 
• Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
• Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.

We are looking for a Senior Backend Engineer (GoLang) with deep Go expertise to join the Gateways team. This is a hands-on individual contributor role with expectations to own subsystems end-to-end and drive technical direction in your area of ownership.

The Gateways team owns Workato's API management, gateway, and routing infrastructure — the layer that sits between external consumers and the platform's core services. Our scope includes the classic API Management (APIM) product, an AI Gateway for LLM traffic management, and an MCP Gateway for Model Context Protocol integration. We operate at high scale, low latency, and with strict availability requirements.

Responsibilities

• Design, build, and operate high-performance gateway and routing components in Go
• Own technical direction for your area: author design documents, lead architectural reviews, evaluate trade-offs, and drive decisions to conclusion
• Build and evolve infrastructure for authentication, caching, rate limiting, request queuing, and traffic shaping
• Collaborate with SRE, Infrastructure, and Platform teams to meet availability, scalability, and observability requirements
• Stay current with relevant technologies, protocols, and industry patterns; present findings and proposals for architectural review
• Deliver features end-to-end: from design through production rollout and ongoing maintenance

Requirements

Must Have

• 10+ years of professional software engineering experience
• 5+ years of hands-on backend development in Go, with strong command of concurrency patterns, performance profiling, and idiomatic design
• Deep understanding of Go internals: scheduler, garbage collector, memory model, and runtime behavior under load
• Strong systems programming foundation: understanding of how things work below the application layer
• Deep network knowledge: TCP connection lifecycle, TLS/mTLS handshake and termination, HTTP/1.1, HTTP/2, HTTP/3 (QUIC), WebSocket, SSE
• Applied cryptography: symmetric/asymmetric encryption, certificate chains of trust, key management, signing and verification
• Proven track record of designing and scaling distributed, highly available systems
• Solid understanding of large-scale web infrastructure: load balancers, reverse proxies, application servers, databases, message brokers, caching layers, and observability stacks
• Experience authoring system/architecture design documents and leading technical reviews
• Ability to identify bottlenecks at both the code level and the system level, and propose pragmatic solutions
• Working knowledge of Kubernetes concepts and deployment patterns
• BS/MS in Computer Science, Engineering, or equivalent demonstrated experience

Nice to Have

• Reading-level familiarity with Ruby (on Rails) — the Workato platform core is Ruby-based and owned by other teams, but integration points require the ability to navigate and understand existing code
• Familiarity with AI/LLM serving infrastructure: model proxying, token metering, streaming protocols
• Experience with Docker, container orchestration, and cloud infrastructure (AWS, Azure, or GCP)
• Experience with Redis-based caching and pub/sub patterns
• Exposure to API gateway or service mesh internals (e.g., Envoy, Kong, custom proxies)
• Integration with third-party REST/gRPC APIs at scale (throttling, retries, circuit breaking, batch processing)
• Contributions to open-source projects

Soft Skills

• Comfortable working in a globally distributed team across multiple timezones (the team spans Singapore, Europe, and the US)
• Strong written and spoken English — sufficient for design discussions, code reviews, and cross-team collaboration
• Full-cycle product delivery mindset: from problem framing through production and maintenance
• Open to experimentation; pragmatic about adopting new technologies

(REQ ID: 2674)

The Role:

We are seeking an enthusiastic and highly autonomous Senior Automation & Integration Engineer to serve as a versatile technical architect across the organization. In this hands-on role, you will act as the “Automation Engine,” directly impacting company efficiency and scalability by orchestrating end-to-end technical solutions. You will be responsible for connecting, transforming, and managing data flows across our entire systems stack through AI-driven automation.

We are looking for an individual who embodies extreme ownership: someone capable of proactively engaging stakeholders, unblocking challenges, and getting things done.

The Work You'll Do:

• Design and Build: Develop and implement robust, scalable AI automation workflows using Make as the primary integration platform to connect core business systems, with particular focus on Workday as our primary ERP.
• Orchestrate and Integrate: Take full ownership of technical solutions, managing data flows, transformations, and database manipulation to ensure seamless integration between tools — including Workday Finance and Workday HCM 
• Innovate with AI: Proactively explore, evaluate, and implement AI applications (both within and outside of Make) to boost our solutions and drive operational efficiency.
• Collaborate and Engage: Partner with stakeholders across Legal, Finance, HR/P&C,IT and other departments to identify opportunities for automation and process improvement, acting as the technical bridge between business needs and systems capability.
• Experiment and Secure: Champion experimentation by testing new technologies while balancing innovation with a mindful approach to security, data integrity, and scalability — especially when handling sensitive financial and people data in Workday.
• Govern and Document: Contribute to the development and maintenance of documentation for automation workflows and integrations. Support the implementation of governance frameworks, including Workday integration standards and change management practices.
• Proactive Problem-Solving: Independently diagnose complex, cross-system issues. Identify architectural gaps and risks across end-to-end process flows. Propose creative solutions with trade-off analysis, and align recommendations to the team mission of enabling scalable, reliable, and compliant operations.
• Mentor and Enable: Mentor junior colleagues. Share domain knowledge through training, documentation, and team rituals. Contribute to a culture of technical excellence and continuous learning.

The Qualifications You'll Need:

• Deep Automation Expertise: 4+ years building production-grade automation workflows with Make (preferred), n8n, Zapier, or Power Automate. You design multi-step integrations with proper error handling, retries, and auditability — and you write scripts (Python and/or JavaScript) when no-code isn't enough. You understand API-based integrations, data modelling, and how to build systems that hold up at scale.
• Workday Integration Experience: Solid hands-on experience across Workday Finance and/or HCM — not just configuration, but a real understanding of the underlying data models and how Finance and P&C teams rely on Workday as their system of record. Practical experience building or maintaining integrations using EIBs, Workday Studio, Core Connectors, PECI/PICOF, or the Workday REST/SOAP APIs.
• Practical AI Application: Demonstrable experience designing and deploying AI-powered workflows, including LLM-based agents, to solve real business problems. You can evaluate AI tools critically, build structured POCs, and write clear assessment summaries — you bring pragmatism, not hype.
• “Get it Done” Mindset: A proactive, self-motivated approach with a bias for action. You thrive in fast-paced environments where requirements might change.
• Stakeholder Management: Proven communication skills and the confidence to engage with Finance and P&C stakeholders as well as technical teams, challenge assumptions, and communicate with radical candor.
• Curiosity: Eagerness to learn and quickly acquire new technical skills in a rapidly evolving tech landscape.

What You’ll Do

• Technical AI governance and assurance
• Operationalise AI governance requirements across the full AI lifecycle, from ideation and use-case approval through development, validation, deployment, monitoring, change management, and retirement.
• Review AI and ML systems at a technical level, including model design, feature pipelines, training approaches, validation methods, deployment architecture, monitoring controls, and human oversight mechanisms.
• Translate technical system characteristics into clear governance, risk, and regulatory positions, including mapping to requirements under the EU AI Act, GDPR, LGPD and other relevant frameworks.
• Conduct risk assessments and assurance reviews of AI systems, including risks relating to bias, explainability, privacy, robustness, model drift, misuse, human oversight, transparency, and customer impact.
• Assess whether AI systems have the right documentation, controls, and evidence to support internal governance, regulatory scrutiny, and audit.
• Governance implementation
• Embed governance checkpoints, review criteria, and control requirements into product, engineering, and model development workflows.
• Design and maintain practical governance artefacts such as AI inventories, use-case classification approaches, risk assessment templates, control libraries, testing standards, and review rubrics.
• Define minimum evidence requirements for AI systems, including documentation of intended purpose, system design, data lineage, validation, performance metrics, limitations, human oversight, and post deployment monitoring.
• Audit, compliance, and regulatory readiness
• Perform technical governance reviews and audits of AI systems and supporting processes.
• Test the design and operating effectiveness of AI-related controls and identify remediation actions where gaps exist.
• Produce structured findings, risk opinions, and assurance reports for technical and non-technical stakeholders.
• Support audit and regulatory readiness by building defensible compliance narratives and evidence packs.
• Escalate material issues, control weaknesses, or ethical concerns and track remediation through to closure.
• Monitoring and reporting
• Help define and track meaningful AI governance, risk, and assurance metrics.
• Develop dashboards and reporting views that provide visibility of AI use cases, risk status, control coverage, review outcomes, incidents, and remediation progress.
• Oversee or challenge post-deployment monitoring for model performance, fairness, stability, drift, and adverse customer or business outcomes.
• Business partnership and capability building
• Work directly with data scientists, ML engineers, product teams, and business owners to help them build compliant and trustworthy AI systems without slowing innovation unnecessarily.
• Build organisational capability by translating regulatory and governance expectations into practical guidance, playbooks, and training.
• Keep stakeholders informed on emerging AI regulatory developments, assurance techniques, and good practice.

What We’re Looking For

• Extensive of experience across AI/ML, model risk, technical assurance, or technical AI governance, with a meaningful part of that experience in a regulated environment.
• Preferred prior background as an ML engineer, data scientist, model validator, AI architect, or similar technical role, with subsequent and/or experience in AI governance,
• AI assurance, model risk, or regulatory delivery.
• Experience conducting deep reviews of AI/ML systems beyond policy conformance, including assessment of model design, validation, monitoring, and operational controls.
• Experience translating technical AI concepts into regulatory, risk, audit, or compliance language for senior stakeholders.
• Experience implementing governance processes, controls, and assurance mechanisms in real delivery environments, not just designing high-level frameworks.
• Strong working knowledge of several of the following: EU AI Act, GDPR/LGPD and automated decision-making / profiling considerations, ISO/IEC 42001, ISO/IEC 23894,
• NIST AI RMF, OECD or other leading responsible AI frameworks, sector or market expectations relevant to gambling, customer protection, and technology risk
• Strong understanding of how AI and ML systems are built, evaluated, deployed, and monitored in production.
• Ability to interpret model and system documentation, architecture diagrams, data flows, validation results, and monitoring outputs.
• Familiarity with common ML approaches, LLM / generative AI patterns, model lifecycle tooling, and data/ML platforms.
• Familiarity with cloud-based AI environments such as AWS, Azure, or GCP.
• Stakeholder and delivery skills
• Able to work across technical, product, risk, legal, cybersecurity, and operational teams with credibility.
• Strong written skills, including the ability to produce clear review reports, risk assessments, control evaluations, and executive-ready summaries.
• Comfortable leading workshops, challenging constructively, and driving remediation.
• Able to operate with autonomy and create structure where none exists.
• Strong judgement, pragmatism, and attention to evidence.

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.
Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally.

About the role

As Senior Solution Marketing Manager, you will own and drive solution positioning and storytelling across our enterprise AI platform. You will translate technical capabilities into clear, differentiated, outcome-driven solutions that accelerate enterprise pipeline and revenue.

You will own 3–4 priority industries and be accountable for narrative clarity, differentiation, and pipeline contribution within them. You will define the “why us, why now,” connect our platform to measurable business outcomes, and equip Sales with compelling narratives that win competitive deals.

This role requires both strategic clarity and hands-on execution, balancing high-level solution positioning with the creation of practical, revenue-driving collateral and sales enablement assets.

What you’ll do

• Develop clear, outcome-driven solution narratives that translate platform capabilities into business value
• Define and articulate use-case positioning, including target buyers, core pain points, and measurable impact
• Establish strong differentiation against internal builds, AI point solutions, and other enterprise AI platforms
• Build solution-specific assets including pitch decks, briefs, one-pagers, messaging frameworks, and competitive battlecards
• Partner closely with Sales to refine pitch tracks, address objections, and strengthen deal positioning
• Collaborate with Product to ensure capabilities are accurately reflected in external messaging
• Create metrics-backed case studies and proof points tailored to industry buyers
• Support demand generation with industry- and solution-focused messaging for campaigns, webinars, and thought leadership
• Continuously gather market feedback to sharpen positioning and improve win rates

What we are looking for

• 7-10 years of experience in B2B solution marketing or enterprise product marketing, preferably in AI, data, or platform companies
• Proven ability to translate complex technical capabilities into clear, business-oriented narratives
• Experience building industry narratives and packaging horizontal platforms into vertical-relevant solutions 
• Strong understanding of enterprise buying dynamics and multi-stakeholder sales environments
• Comfortable operating across industries and packaging horizontal platforms into concrete use cases
• Exceptional communication skills, with the ability to create clarity from ambiguity
• Highly self-directed, structured, and execution-oriented

Why join us

This is an opportunity to define how enterprise buyers understand and adopt our AI platform. You won’t just support messaging - you will shape industry narratives, influence enterprise deal strategy, and directly impact pipeline growth.

If you thrive on ownership, care deeply about clarity and differentiation, and want to turn powerful technology into must-buy enterprise solutions, this role offers both strategic influence and tangible revenue impact.

If you’re excited to build, sharpen, and scale solution storytelling at a high-growth AI company — we’d love to meet you.

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

GTM Engineer at Unframe

Location: Remote (Global)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re hiring a GTM Engineer to build the systems that power our GTM motion and enterprise sales execution.

You will design and implement the automation, tooling, and data infrastructure that turns GTM strategy into repeatable pipeline. You’ll work directly with Sales Leadership, Enablement, Marketing, and Solutions to remove friction, increase selling time, and scale outbound in a thoughtful way.

If you enjoy creating systems that make sales teams materially more effective, this role is for you!

What you’ll do:

• Build scalable outbound infrastructure, including account selection, sequencing, enrichment, and routing, aligned to ICP and vertical strategy
• Design and maintain automations and integrations across Salesforce and the GTM stack that eliminate manual work for AEs and SDRs
• Create and manage GTM Agents built in support of seller productivity and GTM execution
• Partner with Sales Leadership, Enablement, and Marketing to ensure systems reinforce how we sell
• Evaluate and implement new tools and light scripting (APIs, automation platforms) with scale and maintainability in mind

What we are looking for:

• 3–6 years in Sales Ops, RevOps, Growth Ops, or a GTM Engineering-style role
• Experience supporting enterprise or complex B2B sales
• Proven track record building outbound or pipeline automation
• Strong CRM fluency (Salesforce preferred)
• Experience with sequencing and enrichment platforms
• Comfortable working with structured data (SQL or similar is a plus)

Why join us?

• Real ownership from day one. Drive decisions, shape ideas and make them work.
• Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.
• You'll have the opportunity to write and build what comes next.

Ready to Build the Future?

If this opportunity excites you, apply now!

Location: Looking for Australian / Korean citizens / visa holders willing to stay in our Global Hubs for an initial onboarding period of 12 months before relocating into one of our local offices in the APAC market.

The Team

As an Applied AI Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the APAC Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the APAC region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the APAC region to meet clients in person
• Are an effective communicator and fluent in English (and Korean, if applying for Korean market).

Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.

The Team

As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the Japan region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the Japan region to meet clients in person
• Are an effective communicator and fluent in English and Japanese

Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.

The Team

As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the Japan region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the Japan region to meet clients in person
• Are an effective communicator and fluent in English and Japanese

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

What Is The Role : 

Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use.

We’re looking for someone who can connect with our global audience through creative, educational, and visually engaging content. You don’t need to be a Senior Engineer — but you should have a strong technical foundation, curiosity to learn, and the skills to tell compelling stories about technology.

Your work will combine writing, visuals, and video — with no waiting on others to get it done. From drafting a Twitter thread in the morning to publishing an infographic and editing a short video in the afternoon, you’ll take ideas from concept to launch, end to end.

What You Will Be Doing:

• Create engaging technical content for social media, blogs, and YouTube, covering Search, AI, and Elasticsearch in ways that are approachable and inspiring. Topics range from foundational and evergreen topics to today's LLM release.
• Write short-form content (Twitter threads, LinkedIn posts) that distills complex concepts into clear, shareable insights.
• Produce simple, high-quality videos and infographics yourself — from scripting and recording to editing and publishing.
• Explore new trends in Search, AI, and developer tools, and translate them into content our audience cares about.
• Build demos and examples to support your content or share the highlights of the latest research papers.
• Add a creative spark to Elastic’s content to keep our community engaged and draw in new audiences.

What You Bring : 

• Solid technical background and experience in an engineering role.
• Demonstrated ability to create a variety of content formats: blog posts, social media threads, videos, infographics.
• Comfortable working independently and seeing projects through from idea to publication without waiting on others.
• Curiosity and adaptability to quickly pick up new tools and topics.
• A collaborative mindset and willingness to share ideas, in a fully distributed team.
• Strong written and spoken communication skills in English.

What is The Role

Elastic is building Agent Builder, a conversational platform that connects production agents to real customer business data in Elasticsearch. As a Principal Engineer, you will set technical direction and drive the Kibana backend architecture for the agentic platform: streaming APIs, secure tool execution, session and memory persistence, retrieval and citations contracts, and evaluation telemetry. Your influence will extend beyond a single feature, shaping service boundaries, reliability posture, and standards that other solutions build on.

What You Will Be Doing

• Own the architecture for chat back-end services (Node/TypeScript), defining service boundaries, data contracts, and scalability targets
• Lead cross-team design reviews; author ADRs and RFCs that become reference standards for AI-chat and ingestion work.
• Build and harden event-driven pipelines that capture chat telemetry, evaluation traces, and LLM feedback loops; expose them via self-service analytics endpoints.
• Champion reliability—define error budgets, introduce testing strategy, and steer incident-response playbooks for conversational workloads.
• Mentor senior and Junior engineers; grow their system-design skills and foster a high-trust, low-ego culture.
• Partner with Product, Design, and Data Science to translate ambiguous goals (e.g., “multi-step reasoning with tool calling”) into incremental, testable action items.
• Represent Elastic in open-source AI communities (LangGraph/LangChain, MCP/A2A) through design proposals, blog posts, and conference talks.

What You Bring

• We appreciate articulate and “low ego” people who want to grow as part of a team.
• 10 + years building distributed, production SaaS services—at least 5 years leading large-scale Node/TypeScript or similar back-end stacks.
• Deep expertise in distributed systems fundamentals—shard routing, consensus, eventual consistency, back-pressure, and circuit-breaker patterns.
• Demonstrated success designing high-throughput, low-latency APIs (gRPC / REST / WebSocket)—including streaming responses and resumable sessions.
• Hands-on experience with observability: OpenTelemetry, log/metric pipelines, synthetic checks, and SLO dashboards.
• Exposure to LLM tooling (LangChain/LangGraph, OpenAI function calls, vector-search, RAG orchestration) and enthusiasm for advancing GenAI architectures.
• Clear, persuasive written communication—your ADRs and RFCs set the standard others emulate.
• Nice-to-have: contribution history to Kibana or other large SPAs; ability to prototype front-end dashboards when it unblocks back-end work.

If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc.

What Is The Role : 

Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use.

We’re looking for someone who can connect with our global audience through creative, educational, and visually engaging content. You don’t need to be a Senior Engineer — but you should have a strong technical foundation, curiosity to learn, and the skills to tell compelling stories about technology.

Your work will combine writing, visuals, and video — with no waiting on others to get it done. From drafting a Twitter thread in the morning to publishing an infographic and editing a short video in the afternoon, you’ll take ideas from concept to launch, end to end.

What You Will Be Doing:

• Create engaging technical content for social media, blogs, and YouTube, covering Search, AI, and Elasticsearch in ways that are approachable and inspiring. Topics range from foundational and evergreen topics to today's LLM release.
• Write short-form content (Twitter threads, LinkedIn posts) that distills complex concepts into clear, shareable insights.
• Produce simple, high-quality videos and infographics yourself — from scripting and recording to editing and publishing.
• Explore new trends in Search, AI, and developer tools, and translate them into content our audience cares about.
• Build demos and examples to support your content or share the highlights of the latest research papers.
• Add a creative spark to Elastic’s content to keep our community engaged and draw in new audiences.

What You Bring : 

• Solid technical background and experience in an engineering role.
• Demonstrated ability to create a variety of content formats: blog posts, social media threads, videos, infographics.
• Comfortable working independently and seeing projects through from idea to publication without waiting on others.
• Curiosity and adaptability to quickly pick up new tools and topics.
• A collaborative mindset and willingness to share ideas, in a fully distributed team.
• Strong written and spoken communication skills in English.

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.

Your responsibilities will include:

• Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
• Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
• Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
• Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
• Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

• A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
• A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
• Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
• A background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• Actively contributed to relevant open-source projects.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• Full support for publishing ML research and attending industry conferences.
• Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• A rare applied research role where your methods ship in a real product used by software teams.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.

In this role, you will:

• Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.
• Prototype and ship features yourself – this is a hands-on technical leadership role.
• Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.
• Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.
• Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.
• Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.
• Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.

We’d love to talk to you if you have:

• Strong software engineering experience, particularly in Python and/or Kotlin/JVM.
• Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.
• Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.
• Familiarity with LLM evaluation and benchmarking.
• A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.
• Strong communication skills and the ability to influence technical direction without formal authority.
• A strong product sense and care about solving real user problems, not just building interesting technology.

Nice to have:

• Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.
• Experience with the Python AI/ML ecosystem.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

RDQ326R15

The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics.

You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks.

The impact you will have:

• You will respond to incidents as part of a distributed 24x7 operations and on-call schedule.
• You will triage and respond to security events and alerts, ensuring quick and effective containment.
• You will contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events.
• You will build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team.
• You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews.

What we look for:

• Bachelor's Degree AND 4+ years experience in Incident Response work OR Master's Degree AND 2+ years experience.
• Strong cloud security background in at least 1 of AWS, GCP or Azure, and working knowledge of the others.
• Knowledge of AI/LLM and agentic capabilities, including effective prompting and use of MCP, agents and agent skills. Prefer experience with building and operating agentic systems in a security setting.
• Broad security subject matter expertise.
• Expertise in few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.).
• Experience with Enterprise Security and SaaS applications.
• Working knowledge of a SIEM and SOAR.
• Experience building Incident Response Tooling and scripting language skills.

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

Scopely is looking for a Senior Technical Program Manager to join our Enterprise Technology team in Spain or Portugal on a hybrid basis, working 2-3 days a week from the hub.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

The IT/Ops team keeps everything behind the scenes running smoothly and we make sure all teams are equipped and connected - whether across the office or halfway around the world. AV struggles? Don’t worry, we’ve got this. 

What You Will Do 

This role centers on technical program leadership, with an emphasis on delivering enterprise technology capabilities through a product- and service-oriented mindset. The Sr. TPM is responsible for driving the end-to-end delivery of large-scale programs—spanning discovery, planning, execution, and continuous improvement while ensuring alignment with enterprise architecture, platform strategies, and operational excellence standards.

The ideal candidate brings deep experience in technical infrastructure and systems integration, combined with the ability to manage programs as evolving products—focused on usability, scalability, lifecycle management, and long-term business value

You will partner closely with Enterprise Architecture, Cloud Operations, IT Support, Security, and Product & Platform teams to shape and deliver solutions that strengthen Scopely’s global technology ecosystem.

• Lead end-to-end delivery of M&A technology integrations, including systems onboarding, identity and access alignment, data migration, and platform consolidation
• Drive office buildout programs, delivering core IT infrastructure such as network, cabling, AV, and end-user technology to enable day-one operational readiness
• Oversee complex enterprise integration initiatives, ensuring seamless connectivity between acquired entities, partners, and Scopely’s core platforms
• Manage programs across network infrastructure, cloud platforms, endpoint services, and enterprise systems, ensuring scalability, performance, and security
• Coordinate cross-functional teams to deliver standardized, repeatable solutions for integrations and office deployments
• Ensure alignment with enterprise architecture, security policies, and operational standards
• Apply a product mindset to enterprise IT services, focusing on lifecycle management, user experience, and continuous improvement
• Partner with technical and product teams to identify integration opportunities that enhance the scalability, resilience, and reusability of shared platforms
• Facilitate prioritization and trade-off decisions across competing initiatives, balancing technical feasibility, business impact, and alignment with enterprise goals
• Define and evolve repeatable integration and deployment playbooks for M&A and office buildouts
• Partner with product and platform teams to align IT services with broader enterprise roadmaps
• Identify and drive opportunities to leverage AI and automation (including Agentic AI) to improve IT service delivery, integration processes, and operational workflows
• Lead programs that incorporate AI-enabled solutions such as intelligent automation, service copilots, and workflow optimization
• Ensure AI initiatives align with enterprise security, governance, and data privacy standards.
• Partner with senior stakeholders across business and technology teams to align on priorities, timelines, and outcomes
• Drive program governance, including roadmap planning, dependency management, risk mitigation, and executive reporting
• Communicate clearly and consistently with leadership on progress, risks, and value delivery
• Manage program budgets, forecasts, and cost optimization across integrations and infrastructure initiatives
• Oversee vendor selection, onboarding, and performance across network, hardware, and service providers

What We’re Looking For 

• 8+ years of experience in Technical Program or Project Management within enterprise technology environments
• Strong experience managing programs involving infrastructure, cloud platforms, systems integration, and enterprise IT services
• Proven ability to deliver complex, cross-functional initiatives at scale
• Experience working in environments where IT services are developed and managed with a product mindset
• Strong understanding of enterprise technology domains (e.g., cloud infrastructure, networking, identity, security, APIs, and integrations).
• Demonstrated ability to partner with engineering and product teams to define roadmaps, prioritize work, and drive delivery.
• Excellent stakeholder management and communication skills, including executive-level reporting.
• Experience managing budgets, vendors, and external partners
• Strong English language skills are required for this role as we have a highly diverse and global business

Bonus Points 

• Experience in gaming, entertainment, or high-growth technology companies.
• Background in internal platforms, enterprise SaaS, or shared service environments
• Experience with AI/ML-driven solutions, including automation or intelligent systems (e.g., Agentic AI, copilots, workflow automation)
• Familiarity with LLM-based applications or AI service delivery models
• Experience driving process improvements across IT, Security, or Operations functions
• PMP, PgMP, Agile, or Product-related certification.
• Experience working in global, matrixed organizations

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment. 

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

Who we are
Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy.
Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

About the role
We are looking for a Lead Product Manager to own and evolve Data Capture, the surface where every Typeform creator builds and every respondent answers.

Typeform's respondent experience is widely recognised as one of the best in the market. Behind that experience sits Data Capture: the form builder, the blocks library that powers every question and interaction, and the formats through which respondents engage. As Typeform expands into new use cases and AI powered experiences, this surface must evolve toward a composable foundation that supports conversational, page based, embedded, video, voice, and AI moderated interactions from a unified architecture.

In this role, you will lead the strategic direction of Data Capture across three teams. You will manage two Senior Product Managers, carry IC ownership on one of the teams, and drive the architectural evolution of the surface into the composable primitives.

About the team
Data Capture owns the creator and respondent experience end to end. It is made up of three teams:
•  Create & Design — the form builder, design system, brand kits, and multi language.
•  Blocks — the library of question types and the renderer that powers them across every experience.
•  Agentic forms — AI-native surfaces: voice agents, video interviews, and AI-moderated flows where the form thinks, asks follow-ups, and adapts in real time.

The group works closely with platform engineering, product design, Typeform AI, Integrations, and the teams driving end to end customer journeys. Its mission is to keep Typeform's surface market leading on craft while expanding into the components and formats our customers need.

Things you will do
•  Define and drive the strategy for Data Capture in line with the Group's vision and priorities, with a clear thesis and quarterly sequencing for 2026 and 2027
•  Lead the replatforming of the surface into composable primitives consumable across multiple surfaces in the organisation
• Define and ship the AI-native evolution of Data Capture: Smart Blocks, AI-moderated interviews, voice and video respondent flows, and the primitives that make them composable
•  Partner with Typeform AI to land agentic respondent experiences in production at the scale of 500 million responses a year, without fragmenting the core platform
•  Hold the quality bar across the group on specs, discovery, instrumentation, and craft
•  Partner closely with engineering on architectural decisions that shape the future of the platform
•  Work cross functionally with engineering, design, research, and product leadership to align on priorities and technical direction
•  Leverage AI tools to accelerate discovery, analysis, documentation, and decision making. 
•  Use data and customer insight to identify opportunities and measure product impact.
•  Show strong ownership and high agency: proactively identify risks, unblock teams, and push things forward
•  Work cross functionally with engineering, design, research, marketing, customer success, and sales to align on priorities and technical direction
•  Monitor competitors, market trends, and shifts in customer expectations to identify opportunities and guide strategy

What you already bring to the table
•  A strategic thinker with strong product instincts and high ownership
•  AI-native operator: builds with LLMs, agents, and tool-use frameworks daily and treats AI fluency as a core multiplier, not a buzzword. Has a point of view on what AI-first respondent experiences should feel like
•  Real depth in agentic systems, LLM orchestration, tool use, or action execution frameworks, with a view on how they ship in production at scale
•  Architectural conviction: Familiarity with platform architecture, sufficient to partner on renderer refactoring and modular and composable architecture decisions
•  Technical depth: comfort engaging with engineers on architecture, system design, and the underlying primitives (APIs, webhooks, rendered components, data contracts, event flows) that connect blocks to downstream consumers, not only the abstraction layer
•  Comfort with technical trade off discussions around performance, scalability, reliability, observability, and architectural direction
•  Experience managing Product Managers while owning IC work on one team
•  Experience defining mid and long term product strategy across multiple teams in fast moving environments
•  Strong product sense and the ability to identify what creates a great creator and respondent experience
•  Customer first mindset with strong discovery and validation skills; pairs early customer signal with data to test ideas fast
•  A data driven approach to decision making and prioritisation; able to set the measurement model for a surface without leaning on a data analyst for every question
•  Strong storytelling and strategic framing: able to bring alignment and influence group and leadership level decisions through clarity and narrative
•  High agency: doesn't wait to be told, thrives in moving things forward proactively
•  Passionate about mentoring others and contributing to a strong product culture
•  Always learning, always improving, and invested in building great things with others

Nice to have
•  Familiarity with AI enhanced product experiences such as AI moderated workflows, smart logic, or agentic flows
•  Experience leading platform or infrastructure level product initiatives
•  Experience driving architectural or platform refactoring initiatives, especially transitions from product facing to platform composable structures
•  Experience with developer facing surfaces such as webhooks, APIs, SDKs, and event systems

This is where you will make an impact
You will own the surface that every Typeform creator builds on and every respondent answers through.

By evolving Data Capture into a composable foundation, you will unlock faster innovation across the platform and shape how hundreds of millions of people interact with forms every year.

Strategic Account Executive 

Location: Spain, Remote 

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

Drive Enterprise Transformation

Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.

Own the Full Sales Cycle

Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.

Solution Architecture

Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.

Account Expansion

Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.

Go-to-Market Partnership

Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies

Proven track record closing $1M+ ACV deals in early-stage environments

Experience selling complex technical solutions to CIO organizations

Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting

Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch

Success in highly regulated industries with complex compliance requirements

Nice-to-Have Skills:

Regulated industry experience, early-stage success

Why Join Us

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

You're the person who notices the AV cable is wrong before the meeting starts. Who has the new hire's laptop ready before they've hung up their jacket. Who fixes things without being asked, because you spotted the problem first. If that sounds like you, keep on reading!

We're looking for an IT Helpdesk Specialist to join our Barcelona team. Our largest and most dynamic hub, with 143 employees, a packed events calendar, and an office expansion in progress. You'll work side-by-side with our existing Barcelona IT Specialist, owning everything from daily helpdesk and onboarding to event AV and hardware lifecycle. Real ownership from day one. No two days are the same. Sound like your kind of role?

WHAT YOU'LL DO 🚀

Onsite Support & Daily Helpdesk 

• Be the first point of contact for IT requests from Barcelona employees via Slack, walk-up, and our service desk (Freshservice).
• Troubleshoot hardware, software, and connectivity issues on macOS devices (Jamf-managed fleet) and peripherals.
• Handle account access requests, password resets, MFA re-enrollment, and app access through Okta and Google Workspace.
• Escalate complex issues to our IT Administrators and IT Team Lead with full context and logs.

Onboarding & Offboarding 

• Prepare and issue laptops, peripherals, and accessories to new hires; handle all day-1 account setup.
• Collect and process returned equipment from leavers; update asset inventory in AssetSonar.
• Coordinate with HR and Talent for upcoming joiners; manage hardware delivery SLAs.
• Coach new employees on tools, device setup, and company IT processes.

AV & Events Support 

• Set up, support, and troubleshoot end-to-end AV equipment (microphones, video cameras, lighting, displays, and all related gear) for internal events, All-Hands meetings, and external meetups. Note that some events may take place outside regular hours.
• Ensure meeting rooms are ready daily: displays, cameras, microphones, Zoom Rooms, and cables
• Troubleshoot AV issues in real time during events; coordinate with vendors for hardware-level repairs
• Help plan and execute the AV setup for the Barcelona office expansion
• Manage live video broadcasting for meetups and external events, including routing streams to YouTube and various social media platforms.
• Operate and optimize AV setups, utilizing software like OBS Studio or dedicated hardware streaming systems. Continuously look for ways to improve our broadcasting quality and AV workflows.
  
  

Asset Management & Procurement 

• Maintain accurate asset inventory for the Barcelona office (hardware, peripherals, consumables).
• Coordinate local hardware procurement: gather quotes, place orders with vendors, and track deliveries.
• Manage the loaner pool, consumables, and device rotation to avoid aging stock.
• Support hardware refresh cycles and decommissioning workflows.

Office Infrastructure 

• Assist with Wi-Fi, wired connectivity, and printer troubleshooting at the office level.
• Support the Barcelona office expansion: coordinate with vendors and building management on IT infrastructure requirements (cabling, network points, AV installation).
• Help implement improvements to meeting room setup and network reliability.

Documentation & Knowledge

• Maintain IT knowledge base articles, quick guides, and FAQs for Barcelona employees.
• Document solutions to recurring issues and contribute runbooks for the IT team.
• Share feedback with IT Administrators on gaps in current processes and tooling.

TO SHINE IN THIS ROLE 💥

You’ll need:

• 3+ years of IT support experience in a SaaS or technology company — you've supported real users at scale, handled the full helpdesk lifecycle, and know what good IT operations looks like.
• macOS and Jamf experience: comfortable enrolling devices, pushing profiles, troubleshooting macOS issues; this is a Mac-first environment.
• Hands-on AV, live streaming, and events support: you've set up and operated AV equipment for corporate events and live broadcasts (cameras, microphones, OBS, streaming hardware). You are highly stress-resistant, deeply proactive, and stay completely calm when troubleshooting issues on the fly in front of 100+ people or during a live stream.
• Onboarding/offboarding process experience: you know what "day-1 ready" means and how to deliver it reliably.

Technical Skills

• Google Workspace: user management, basic admin tasks (groups, shared drives, delegation).
• Okta basics: password resets, MFA, and app assignment; or strong readiness to learn quickly.
• Service desk tools: experience working in a ticketing system  (Freshservice, Zendesk, Jira, YouTrack, or similar) and keeping queues organized.
• AI-Powered Productivity: you actively use modern LLM tools (Claude Code, ChatGPT, Codex, Gemini) in your daily work — for writing, troubleshooting research, drafting documentation, automating workflows or finding faster solutions; this is a hard requirement.
• Asset tracking: comfortable maintaining hardware records, updating inventory systems.

Soft Skills & Approach

• Proactive, not reactive: you spot problems before they become tickets and fix things without being asked.
• Clear communicator: you write concise, helpful responses and can explain technical issues to non-technical users without jargon.
• Calm under pressure: you perform well during onboardings, live events, and multi-issue days without dropping the ball.
• Team player: you ask for help when you need it, share what you know, and make the people around you more effective.

Language & Location

• Proficiency in English (our working language for documentation, vendor communication, and team collaboration)
• Barcelona-based with willingness to work onsite 4-5 days per week. This is a primarily onsite role

It would be great if you have:

• Freshservice experience” workflow configuration, SLA setup, reporting (we're migrating to Freshservice in 2026; if you already know it, you'll contribute immediately).
• Live Broadcasting Experience: Familiarity with OBS Studio, audio mixing, managing multi-camera setups, and streaming to platforms like YouTube.
• Zoom Rooms setup and administration: controller pairing, display/camera/audio configuration, room kit deployment and troubleshooting as the office is expanding the event space.
• IT hardware procurement basics: gathering vendor quotes, coordinating purchases, tracking orders.
• Light scripting or automation exposure: basic Python or bash, or experience with low-code tools (n8n, Zapier). Our team builds automations to reduce manual work, and we'd love someone who's curious about this.
• Networking basics: Wi-Fi diagnostics, VLAN concepts, and UniFi familiarity.
• Proficiency in Spanish: useful for coordinating with local vendors, building management, and ISPs in Barcelona.
• Slack administration basics: workspace settings, app management, user permissions.

 🏢 LOCATION & SCHEDULE

Full-time, on-site 4-5 days per week in Barcelona; occasional after-hours support for events or cutovers.

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 📚 Annual professional development reimbursement for conference tickets, online courses, and other relevant resources to help you grow.
• 💙 Comprehensive medical, dental, and vision coverage for you and your dependents.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success. 

With my application, I accept the Manychat Privacy Policy.

We are looking for an AI Product Builder in Madrid: someone for whom thinking, designing, and building are not separate stages, but a single act. Someone who collapses the distance between idea and product until it becomes almost invisible. End-to-end, no intermediaries, no safe havens. You will work directly with the Data leadership and ship real impact from day one.

About the role

• Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact. No hand-offs.
• Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling as a native part of the product, not as a feature.
• Understand our business, our customers, our market, and the data behind our consumer product to delight users and achieve Fever's goals.
• Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate. Treat shipping as the way to think.
• Build prototypes and production-ready experiences yourself when needed, leveraging AI coding tools and modern development workflows to compress the idea-to-product cycle.
• Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance.
• Collaborate with stakeholders across Design, Growth, and the Tech team, working sid by side with a team of Software Engineers.
• Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls under uncertainty.
• Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship.

About you

Basic skills and qualifications:
• Bachelor's degree in Engineering, Computer Science, or a related field.
• 3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role).
• Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos.
• Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical.
• Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team.
• Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus.
• Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth.
• Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions.
• Proficiency in English; able to communicate complex technical and product ideas clearly to any audience, in writing and in person.
• High sense of ownership, urgency, and drive in a fast-paced, ambiguous environment.

Preferred skills and qualifications
• Hands-on experience with the modern AI stack: LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, agentic workflows, and AI coding tools.
• Experience designing and running evaluations for AI-powered features (offline and online), and reasoning about model quality, cost, and latency trade-offs.
• Background in tech startups, or a strong willingness to operate inside a fast-moving, high-ambition tech company.
• Track record of shipping products as a small team or solo: founder, early-stage employee, indie builder, or similar.
• Strong product taste and design sensitivity — you care about how things feel, not just whether they work.
• Experience formulating hypotheses, building lean validations, running A/B tests, and defining primary and guardrail metrics.
• Strategic sense: ability to collaborate in defining where the consumer product and its AI surface area should go in the next 1–3 years.
• Ability to build trust quickly across different levels of an organization and rally people around what you are building.

Why join Fever

• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

Join our Movement and Champion Restaurant Culture! 💚

At TheFork we believe that the best things in life happen around the table.
As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.

We’re part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive.
If you’re passionate about food, technology, and making a real impact, your seat at the table is ready.

👉 Discover life at TheFork

What you will do:

• Design, build, and evolve test automation frameworks and internal tooling (Playwright + TypeScript as primary stack)
• Act as owner of the test ecosystem, including repositories, architecture, and long-term maintainability
• Define and enforce testing standards, guidelines, and best practices across engineering teams
• Enable developers to write effective tests by providing abstractions, utilities, and reusable components
• Drive test architecture decisions (structure, layering, fixtures, data handling, isolation strategies)
• Collaborate with teams to improve testability of systems (APIs, frontend, data flows) without directly owning feature tests
• Own and optimize CI/CD test pipelines (e.g., Jenkins), focusing on speed, reliability, and scalability
• Identify systemic issues (flakiness, instability, slow feedback loops) and implement structural solutions, not patches
• Design and maintain test data management and environment orchestration strategies
• Define, implement, and evolve quality gates and metrics (coverage, reliability, execution time, signal quality)
• Support teams in debugging complex failures by providing observability and diagnostic tooling
• Explore and integrate AI-driven testing capabilities to improve productivity and test robustness
• Mentor engineers and promote a quality engineering mindset across the organization

Who you are:

You Must Meet These Critical Qualifications (Mandatory requirements to be listed here)

• 2 to 5 years of experience
• Strong experience as an SDET / Quality Engineer with a focus on frameworks and tooling, not just test implementation
• Excellent programming skills in TypeScript / JavaScript
• Proven experience designing and maintaining test frameworks at scale
• Hands-on experience with modern automation tools (Playwright preferred)
• Strong understanding of test architecture patterns (test pyramid, separation of concerns, isolation strategies)
• Experience enabling teams through libraries, SDKs, or shared tooling
• Solid experience with CI/CD systems (e.g., Jenkins), including pipeline optimization and debugging
• Experience with API testing (REST/GraphQL) and designing reusable testing layers
• Strong problem-solving skills focused on root cause analysis and systemic improvements
• Comfortable working cross-team and acting as a technical reference for quality
• Fluent in English (written and spoken)

You Can Impress With These Additions (“Nice to have” to be listed here)

• Experience building internal developer platforms or test platforms
• Deep expertise in Playwright ecosystem (custom reporters, fixtures, plugins, parallelization strategies)
• Experience with GraphQL testing tooling and schema-driven validation
• Familiarity with quality gate systems (e.g., SonarQube / SonarCloud) and defining engineering-wide standards
• Experience with test data platforms (dynamic data generation, seeding, environment control)
• Exposure to AI-assisted testing / LLM-based tooling
• Backend development experience (Node.js preferred)
• Experience with containerization (Docker) and ephemeral environments
• Strong understanding of observability (logs, metrics, tracing) applied to test systems
• Experience in organizations where testing is decentralized but governed centrally

What we offer you: 

😄 An awesome team 

🏠 A permanent contract (that can be useful in life) 

⚖️Flexible working environment (2 days home office per week +  up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)

💸 Competitive fixed salary and bonus 

🍕 Lunch vouchers available for each working day (because yes, we like to try our best restaurants)  

🌎 International teams and a multicultural environment spanning 10 offices across Europe

🤝 Highly inclusive working environment 

🤸‍♀️ Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc 

🎓 Continuous learning and development programs

😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey

🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)

🏥Health insurance covered by the company 

👶 Financial support for birth, adoption, civil partnerships, or marriage

🚝 Transport allowance

🏥Health insurance fully covered by the company 

👩‍🦽 Life & Disability Insurance at no cost to the employee

🍴 Amazing offices with dining, coffee points and leisure area    

🎤 Team building events

All hiring happens through our careers site and official email. We do not text or ask for payment during the hiring process. Please report any suspicious messages immediately.

We believe that we are better together, and we welcome you for who you are. We endeavor to ensure  that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under  applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great.

TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application,  interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to AccessibleRecruitment@TheFork.com. Our HR team will review the request and respond accordingly.

#LI-FF1

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact

This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
  • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
  • Collaborate with research teams on innovative machine learning experiments
  • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring
    
    
• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
  • Build tools to automate retraining, monitoring, and deployment of ML models
  • Enhance collaboration features for ML stakeholders
  • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
    
    
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
  • Optimize processing engines for scalability and latency
  • Expand capabilities to support new databases and cloud platforms
  • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
    
    
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
  • Develop customizable platforms for managing AI compliance and governance
  • Simplify policy enforcement and integration across disparate systems
  • Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

Tech environment

This role is intentionally not defined by one framework or specialty. That said, you will likely operate in an environment that includes Python-based services and APIs, relational databases, data-warehouses, real time databases and SQL, event-driven or distributed systems, cloud infrastructure, containers, CI/CD pipelines, and observability tooling. Depending on the project, you may also work with AI APIs, LLM-based workflows, retrieval patterns, and automation tooling.

Nice to have

• Experience working on internal platforms, operational tools, or product-heavy backend systems.
• Experience with Python frameworks such as Django, Flask, or FastAPI.
• Experience with PostgreSQL, Snowflake, Tinybird, Redis, and SQL-heavy applications.
• Familiarity with event-driven architectures or messaging systems such as Kafka or RabbitMQ.
• Experience with AWS, Docker, Kubernetes, Terraform, or similar infrastructure patterns.
• Familiarity with observability and monitoring tooling.
• Exposure to AI-enabled product development, LLM integrations, RAG patterns, or workflow automation.
• Experience working on 0→1 initiatives or undefined problem spaces.
• Demonstrated leadership through ownership of difficult projects with broad impact.

What success looks like

• You turn ambiguous opportunities into working systems or products that create clear value.
• You help teams make better trade-offs and avoid overengineering, fragmentation, and local optimization.
• You improve not only what gets built, but also how decisions are made.
• You become a trusted technical leader for important cross-functional initiatives.
• You increase the leverage of other engineers and teams through your judgment, technical direction, and execution support.
• You help connect engineering work to real operational and business outcomes.

Who will thrive in this role

You will likely thrive here if:

• You are energized by ambitious, messy, high-leverage problems.
• You like operating where priorities evolve and the path is not fully defined.
• You care more about impact than about staying inside a narrowly defined engineering lane.
• You enjoy combining engineering depth, product thinking, and business context.
• You naturally look for the highest-leverage way to move a system, a team, or a product forward.
• You want to play a meaningful role in shaping how the company builds and scales. 

Why join Fever

• You will work on some of the company’s most strategic problems.
• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production and free developers to focus on creativity and problem-solving.

The IntelliJ AI team develops the AI-specific core of JetBrains IDEs. We work on agentic workflows, intelligent editing assistance, and new AI-powered capabilities that redefine how developers interact with the IDEs.

We are looking for a Senior Software Developer to help us build the next generation of AI-powered features in JetBrains IDEs.

In this role, you will:

• Integrate state-of-the-art AI agents into our IDEs, continuously improving the developer experience of working with them.
• Enhance agent capabilities by equipping them with the most intelligent tools available in our IDEs.
• Create novel AI features with no direct market analogues, experimenting with and exploring the new possibilities brought by modern AI technologies.
• Measure and evaluate the performance of agents and other AI features to achieve reliability and reproducibility.

We are looking for engineers who:

• Want to help build the best IDEs in the world and push the boundaries of developer tools.
• Have strong knowledge of Java, Kotlin, or similar languages.
• Are comfortable designing and developing complex software systems.
• Are self-driven and able to take end-to-end ownership of challenging features.
• Possess strong communication skills in English, both written and verbal.

Experience that would be especially valuable:

• Building AI-powered features, especially with LLM-based systems.
• Developing IDEs, code editors, or complex desktop applications.
• Working on performance-sensitive or correctness-critical systems.
• Concurrent programming and performance optimization.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.
  *Some benefits may vary depending on location.

#LI-IM1

About The Role 💻

We are looking for a Senior MLE Staff Engineer who is an expert in the deployment and scaling of LLMs and Agentic systems. In this role, you will bridge the gap between machine learning experimentation and production at scale by building the robust, highly efficient platform that powers our AI initiatives.

While our Data Science teams focus on developing and tuning state-of-the-art models, you will be the owner of the platform that enables them. You will define best practices, build automated pipelines, and ensure that our infrastructure can handle complex agentic workflows with high reliability and performance. This is a role for a visionary who stays ahead of the daily shifts in the AI landscape and can rapidly adapt our stack to leverage emerging trends.

For more insight into the technologies used by the engineering team at Clarity AI, please explore our Tech Stack

What You’ll Be Doing 🚀

As a Senior MLE Staff Engineer, you will be responsible for:

• GenAI Platform Engineering: Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
• Infrastructure for Agents: Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
• High-Scale Productionization & Model Serving: Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost. Implement standard batch and online serving with controlled rollback.
• Build & Delivery: Establishing the "Golden Path" for model deployment through a self-service path to move code, data, and models to production safely and reproducibly, including automated evaluation frameworks, safety guardrails, and CI/CD/CT pipelines.
• Strategic Vision & Product Management: Continuously monitoring the AI ecosystem and proactively evolving our platform to maintain a competitive edge. This includes adopting best practices in Platform Product Management and driving the adoption of golden-path solutions.
• End-to-End Observability: Implementing deep observability for LLMs, tracking not just system health but providing unified visibility into health, impact, and root cause across data, ML, and GenAI (including model hallucinations, token usage, and RAG performance).
• Collaborative Foundation: Providing the tools and abstractions that allow Data Scientists and stakeholders to move from a "tuned model" to a "production service" with zero friction.

Location 🌍

The role is based in our tech hub in Madrid, Spain, but we are remote-friendly and open to the CET timezone +/- 2 hours.
Way of Working: Remote/Hybrid

What You’ll Need 👀

• LLM & Agent Expertise: Deep, hands-on experience deploying Large Language Models and complex agentic architectures at scale.
• GenAI Platform Specifics: Proven experience in implementing Prompt Lifecycle Management (versioning, testing, and deploying prompts as code), an LLM Abstraction Layer (provider-agnostic access), and systems for Cost & Usage Control (visibility and limits on GenAI spend per use case).
• Evaluation & Benchmarking Mastery: Expert-level experience building automated evaluation pipelines and frameworks (e.g., Ragas, DeepEval, G-Eval) and implementing LLM-as-a-judge patterns to validate model quality, grounding, and safety in CI/CD.
• Platform & MLOps Mindset: A proven track record of building platforms or shared infrastructure. Deep understanding of MLOps concepts like Model Registry (versioning, state management, and lineage) and Model Monitoring & Drift Detection.
• 3+ years of experience in MLOps or high-scale Software Engineering with a focus on AI production environments.
• Technical Stack Mastery: Expert-level Python and deep experience with container orchestration (Kubernetes, Docker) and cloud infrastructure (AWS/GCP).
• AI Tooling & Frameworks: Proficiency with orchestration libraries (e.g., LangChain, LlamaIndex, CrewAI), vector databases (e.g., Pinecone, Weaviate), and inference engines (e.g., vLLM, TGI).
• Agility & Adaptability: The ability to learn and implement new technologies in a field that changes weekly. You should be a "fast mover" who enjoys constant evolution.
• Software Excellence & Governance: Strong fundamentals in API design, microservices, and "GitOps" methodologies, including the implementation of automated security and compliance by default.
• English Proficiency: Excellent communication skills (minimum C1 level), with the ability to articulate technical vision to both engineers and leadership.

What We Offer 🥁

• Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success
• Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces 
• Generous paid time off schemes, including vacation, sabbatical, religious observance and compensation days
• Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses
• Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms
• Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

The AI era isn't coming, it's already here. At Manychat, we're building it into the foundation of everything  and we need an Applied AI Engineer to help make that real.

Your main focus will be AI agents and agentic workflows, LLM-powered system orchestration, and automation pipelines that integrate into the business processes that actually matter. You'll work across internal and customer-facing systems, writing production-grade code and partnering with product and business teams to turn complex challenges into reliable, scalable solutions.

We'd love to work with someone who brings more than strong engineering fundamentals. Someone with the product mindset to understand business context, the communication skills to work fluidly across teams, and the pragmatism to choose solutions that are effective and built to last. Ownership matters here: we're looking for someone who drives work from discovery to rollout, not someone who hands things off at the first checkpoint.

If success for you means identifying real AI use cases, building things that work reliably at scale, and being a trusted technical partner to the teams around you, let’s talk! 

WHAT YOU'LL DO 🚀

• Design, build, and maintain AI-driven services and agent-based solutions for workflow and business process automation.
• Develop orchestration logic across LLMs, internal services, APIs, databases, and third-party platforms.
• Build backend components for AI products and automation pipelines using TypeScript and Node.js.
• Integrate AI-powered workflows with CRM, ERP, ticketing, knowledge management, communication, and other business systems.
• Implement and improve RAG, tool/function calling, memory/state handling, evaluation, and monitoring for AI use cases.
• Partner closely with Product Managers, domain experts, and business stakeholders to identify high-impact use cases and translate them into technical solutions.
• Contribute across the full product lifecycle: discovery, prototyping, production delivery, and iteration.
• Ensure production quality through testing, observability, reliability, security, performance, and cost awareness.
• Document architecture, technical decisions, and tradeoffs, and communicate them clearly to both technical and non-technical stakeholders.

TO SHINE IN THIS ROLE 💥

You'll need:

• 3 – 5 years of experience in software engineering, backend engineering, or applied AI engineering.
• Strong hands-on experience with TypeScript and Node.js in production environments.
• Experience building backend services, APIs, and integrations.
• Practical experience with LLM-based applications, AI automation, or agentic workflows.
• Solid understanding of RAG, prompt engineering, tool/function calling, and context management.
• Experience working with SQL/NoSQL databases and external APIs.
• Understanding of reliable backend patterns such as async processing, retries, queues, idempotency, and error handling.
• Ability to understand business workflows and translate ambiguous requirements into clear technical solutions.
• Experience collaborating with product teams, analysts, operations, and other stakeholders.
• Strong communication skills and the ability to explain complex solutions to both technical and non-technical audiences.

IT WOULD BE GREAT IF YOU HAVE 🤩

• Experience with LangChain, LangGraph, OpenAI SDK, LlamaIndex, or similar frameworks.
• Experience with workflow and orchestration tools such as n8n, Temporal, or event-driven systems.
• Familiarity with PostgreSQL, Redis, Kafka, BullMQ, or similar technologies.
• Experience with vector databases such as pgvector, Pinecone, Qdrant, or Weaviate.
• Experience with Python in AI/ML-related use cases.
• Experience with Docker, cloud platforms (AWS, GCP, Azure), and CI/CD pipelines.
• Exposure to observability and evaluation tooling for AI systems.
• Understanding of security, privacy, and governance considerations for AI-driven business systems.

Tech Stack

• Core: TypeScript, Node.js
• Backend: NestJS, Express, or similar frameworks
• AI/LLM: OpenAI API, Anthropic API, LangChain, LangGraph
• Data/RAG: PostgreSQL, pgvector, Redis, vector databases
• Integrations: REST APIs, webhooks, third-party SaaS platforms

Infrastructure: Docker, cloud services, CI/CD, logging and monitoring

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

About commercetools

Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people.

Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers. The kind of people who not only created composable commerce but also shaped the culture of experimentation that idea unlocked. Together they are the engine of commerce innovation today.

At commercetools, we power the next era of commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits.

Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own.

The Opportunity

As a Senior Technical Product Marketing Manager at commercetools, you will serve as the strategic lead for the company's foundational platform, ecosystem enablers (Agent Gateway and integrations) and AI Hub.This role requires a hands-on mastery of modern commerce architecture and AI concepts—including LLMs and agentic systems—to bridge the gap between deep engineering concepts and compelling market storytelling. By acting as a technical peer to Product teams, you will translate innovations like composable architecture into value-driven narratives that help global enterprises experiment and scale.

This role is hybrid, with three days a week spent in our Boston , Valencia, London, Berlin or München, Bayern, office.

Your Impact

• Drive Platform Differentiation: Refine our platform’s differentiated positioning to drive awareness, adoption, and revenue growth; lead messaging and GTM for related products (AI Hub, Agent Gateway, integrations), ensuring cohesive narratives that highlight business and technical value
• AI Evangelism: Translate complex concepts like agentic commerce, LLMs, and API orchestration into clear value propositions for both technical and business audiences.
• Joint Propositions: Amplify joint value propositions with key technology partners including Google Cloud, AWS, Microsoft, and OpenAI.
• Cross-Functional Collaboration: Partner with Product and Engineering to shape launch strategies for new platform capabilities, integrations, and AI-powered features, understanding architectural trade-offs, constraints, and real-world implementation considerations
• Audience Insights: Conduct deep research into customer, partner, and developer needs to inform product direction and competitive messaging.
• Technical Enablement: Develop grounded content—from demos to thought leadership—that aligns GTM teams and empowers customers to adopt new innovations.

What Sets You Apart

You bring:

• Technical Expertise: A background in Engineering or Product Management with a deep understanding of technical concepts like LLMs, agent orchestration, MCP/ACP-style protocols, model routing, tool invocation, API-driven orchestration, and more.
• Strategic Communication: The ability to collaborate with engineers on technical constraints (security, latency, compliance) while turning that data into compelling, scalable stories.
• GTM Leadership: Experience in high-growth, global organizations where you have turned complex product launches into repeatable processes and internal enablement wins.
• AI Aptitude: A proactive mindset for using AI tools to optimize your own workflow and a constant drive to master emerging tech.
• Bonus Points: Hands-on experience with commerce platforms (SAP, Shopify), developer tools, or major cloud ecosystems (GCP, AWS)

Nice to Have:

• Hands-on experience working with or marketing AI platforms, developer tools, or LLM-based products
• Familiarity with commerce platforms (e.g., SAP Hybris/Commerce Cloud, Shopify, etc.)
• Exposure to AI ecosystems and partners (e.g., OpenAI, Anthropic, Google, etc.)
• Familiarity with cloud providers (e.g., AWS, GCP, etc.)

Our Benefits

Because work and life are connected, our benefits are too. We’ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most.

🩺 Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support

📚 Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs

🍼 Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition

📈 Our equity participation program allows you to share in our success 

For more information on our benefits, visit this page.

Come as you are. Build with us.

Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it’s the only way to build the future. We celebrate our differences and have created a hiring process that’s fair, inclusive, and designed to let your talent shine.

We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community. 

For more information on our diversity, equity, inclusion, and belonging practices, visit this page.

Please note that the compensation range pertains to base pay

About commercetools

Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people.

Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers. The kind of people who not only created composable commerce but also shaped the culture of experimentation that idea unlocked. Together they are the engine of commerce innovation today.

At commercetools, we power the next era of commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits.

Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own.

The Opportunity

As a Senior Technical Product Marketing Manager at commercetools, you will serve as the strategic lead for the company's foundational platform, ecosystem enablers (Agent Gateway and integrations) and AI Hub.This role requires a hands-on mastery of modern commerce architecture and AI concepts—including LLMs and agentic systems—to bridge the gap between deep engineering concepts and compelling market storytelling. By acting as a technical peer to Product teams, you will translate innovations like composable architecture into value-driven narratives that help global enterprises experiment and scale.

This role is hybrid, with three days a week spent in our Boston , Valencia, London, Berlin or München, Bayern, office.

Your Impact

• Drive Platform Differentiation: Refine our platform’s differentiated positioning to drive awareness, adoption, and revenue growth; lead messaging and GTM for related products (AI Hub, Agent Gateway, integrations), ensuring cohesive narratives that highlight business and technical value
• AI Evangelism: Translate complex concepts like agentic commerce, LLMs, and API orchestration into clear value propositions for both technical and business audiences.
• Joint Propositions: Amplify joint value propositions with key technology partners including Google Cloud, AWS, Microsoft, and OpenAI.
• Cross-Functional Collaboration: Partner with Product and Engineering to shape launch strategies for new platform capabilities, integrations, and AI-powered features, understanding architectural trade-offs, constraints, and real-world implementation considerations
• Audience Insights: Conduct deep research into customer, partner, and developer needs to inform product direction and competitive messaging.
• Technical Enablement: Develop grounded content—from demos to thought leadership—that aligns GTM teams and empowers customers to adopt new innovations.

What Sets You Apart

You bring:

• Technical Expertise: A background in Engineering or Product Management with a deep understanding of technical concepts like LLMs, agent orchestration, MCP/ACP-style protocols, model routing, tool invocation, API-driven orchestration, and more.
• Strategic Communication: The ability to collaborate with engineers on technical constraints (security, latency, compliance) while turning that data into compelling, scalable stories.
• GTM Leadership: Experience in high-growth, global organizations where you have turned complex product launches into repeatable processes and internal enablement wins.
• AI Aptitude: A proactive mindset for using AI tools to optimize your own workflow and a constant drive to master emerging tech.
• Bonus Points: Hands-on experience with commerce platforms (SAP, Shopify), developer tools, or major cloud ecosystems (GCP, AWS)

Nice to Have:

• Hands-on experience working with or marketing AI platforms, developer tools, or LLM-based products
• Familiarity with commerce platforms (e.g., SAP Hybris/Commerce Cloud, Shopify, etc.)
• Exposure to AI ecosystems and partners (e.g., OpenAI, Anthropic, Google, etc.)
• Familiarity with cloud providers (e.g., AWS, GCP, etc.)

Our Benefits

Because work and life are connected, our benefits are too. We’ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most.

🩺 Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support

📚 Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs

🍼 Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition

📈 Our equity participation program allows you to share in our success 

For more information on our benefits, visit this page.

Come as you are. Build with us.

Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it’s the only way to build the future. We celebrate our differences and have created a hiring process that’s fair, inclusive, and designed to let your talent shine.

We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community. 

For more information on our diversity, equity, inclusion, and belonging practices, visit this page.

Please note that the compensation range pertains to base pay

About commercetools

Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people.

Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers. The kind of people who not only created composable commerce but also shaped the culture of experimentation that idea unlocked. Together they are the engine of commerce innovation today.

At commercetools, we power the next era of commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits.

Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own.

The Opportunity

As a Senior Technical Product Marketing Manager at commercetools, you will serve as the strategic lead for the company's foundational platform, ecosystem enablers (Agent Gateway and integrations) and AI Hub.This role requires a hands-on mastery of modern commerce architecture and AI concepts—including LLMs and agentic systems—to bridge the gap between deep engineering concepts and compelling market storytelling. By acting as a technical peer to Product teams, you will translate innovations like composable architecture into value-driven narratives that help global enterprises experiment and scale.

This role is hybrid, with three days a week spent in our Boston , Valencia, London, Berlin or München, Bayern, office.

Your Impact

• Drive Platform Differentiation: Refine our platform’s differentiated positioning to drive awareness, adoption, and revenue growth; lead messaging and GTM for related products (AI Hub, Agent Gateway, integrations), ensuring cohesive narratives that highlight business and technical value
• AI Evangelism: Translate complex concepts like agentic commerce, LLMs, and API orchestration into clear value propositions for both technical and business audiences.
• Joint Propositions: Amplify joint value propositions with key technology partners including Google Cloud, AWS, Microsoft, and OpenAI.
• Cross-Functional Collaboration: Partner with Product and Engineering to shape launch strategies for new platform capabilities, integrations, and AI-powered features, understanding architectural trade-offs, constraints, and real-world implementation considerations
• Audience Insights: Conduct deep research into customer, partner, and developer needs to inform product direction and competitive messaging.
• Technical Enablement: Develop grounded content—from demos to thought leadership—that aligns GTM teams and empowers customers to adopt new innovations.

What Sets You Apart

You bring:

• Technical Expertise: A background in Engineering or Product Management with a deep understanding of technical concepts like LLMs, agent orchestration, MCP/ACP-style protocols, model routing, tool invocation, API-driven orchestration, and more.
• Strategic Communication: The ability to collaborate with engineers on technical constraints (security, latency, compliance) while turning that data into compelling, scalable stories.
• GTM Leadership: Experience in high-growth, global organizations where you have turned complex product launches into repeatable processes and internal enablement wins.
• AI Aptitude: A proactive mindset for using AI tools to optimize your own workflow and a constant drive to master emerging tech.
• Bonus Points: Hands-on experience with commerce platforms (SAP, Shopify), developer tools, or major cloud ecosystems (GCP, AWS)

Nice to Have:

• Hands-on experience working with or marketing AI platforms, developer tools, or LLM-based products
• Familiarity with commerce platforms (e.g., SAP Hybris/Commerce Cloud, Shopify, etc.)
• Exposure to AI ecosystems and partners (e.g., OpenAI, Anthropic, Google, etc.)
• Familiarity with cloud providers (e.g., AWS, GCP, etc.)

Our Benefits

Because work and life are connected, our benefits are too. We’ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most.

🩺 Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support

📚 Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs

🍼 Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition

📈 Our equity participation program allows you to share in our success 

For more information on our benefits, visit this page.

Come as you are. Build with us.

Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it’s the only way to build the future. We celebrate our differences and have created a hiring process that’s fair, inclusive, and designed to let your talent shine.

We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community. 

For more information on our diversity, equity, inclusion, and belonging practices, visit this page.

Please note that the compensation range pertains to base pay

About commercetools

Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people.

Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers. The kind of people who not only created composable commerce but also shaped the culture of experimentation that idea unlocked. Together they are the engine of commerce innovation today.

At commercetools, we power the next era of commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits.

Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own.

The Opportunity

As a Senior Technical Product Marketing Manager at commercetools, you will serve as the strategic lead for the company's foundational platform, ecosystem enablers (Agent Gateway and integrations) and AI Hub.This role requires a hands-on mastery of modern commerce architecture and AI concepts—including LLMs and agentic systems—to bridge the gap between deep engineering concepts and compelling market storytelling. By acting as a technical peer to Product teams, you will translate innovations like composable architecture into value-driven narratives that help global enterprises experiment and scale.

This role is hybrid, with three days a week spent in our Boston , Valencia, London, Berlin or München, Bayern, office.

Your Impact

• Drive Platform Differentiation: Refine our platform’s differentiated positioning to drive awareness, adoption, and revenue growth; lead messaging and GTM for related products (AI Hub, Agent Gateway, integrations), ensuring cohesive narratives that highlight business and technical value
• AI Evangelism: Translate complex concepts like agentic commerce, LLMs, and API orchestration into clear value propositions for both technical and business audiences.
• Joint Propositions: Amplify joint value propositions with key technology partners including Google Cloud, AWS, Microsoft, and OpenAI.
• Cross-Functional Collaboration: Partner with Product and Engineering to shape launch strategies for new platform capabilities, integrations, and AI-powered features, understanding architectural trade-offs, constraints, and real-world implementation considerations
• Audience Insights: Conduct deep research into customer, partner, and developer needs to inform product direction and competitive messaging.
• Technical Enablement: Develop grounded content—from demos to thought leadership—that aligns GTM teams and empowers customers to adopt new innovations.

What Sets You Apart

You bring:

• Technical Expertise: A background in Engineering or Product Management with a deep understanding of technical concepts like LLMs, agent orchestration, MCP/ACP-style protocols, model routing, tool invocation, API-driven orchestration, and more.
• Strategic Communication: The ability to collaborate with engineers on technical constraints (security, latency, compliance) while turning that data into compelling, scalable stories.
• GTM Leadership: Experience in high-growth, global organizations where you have turned complex product launches into repeatable processes and internal enablement wins.
• AI Aptitude: A proactive mindset for using AI tools to optimize your own workflow and a constant drive to master emerging tech.
• Bonus Points: Hands-on experience with commerce platforms (SAP, Shopify), developer tools, or major cloud ecosystems (GCP, AWS)

Nice to Have:

• Hands-on experience working with or marketing AI platforms, developer tools, or LLM-based products
• Familiarity with commerce platforms (e.g., SAP Hybris/Commerce Cloud, Shopify, etc.)
• Exposure to AI ecosystems and partners (e.g., OpenAI, Anthropic, Google, etc.)
• Familiarity with cloud providers (e.g., AWS, GCP, etc.)

Our Benefits

Because work and life are connected, our benefits are too. We’ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most.

🩺 Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support

📚 Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs

🍼 Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition

📈 Our equity participation program allows you to share in our success 

For more information on our benefits, visit this page.

Come as you are. Build with us.

Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it’s the only way to build the future. We celebrate our differences and have created a hiring process that’s fair, inclusive, and designed to let your talent shine.

We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community. 

For more information on our diversity, equity, inclusion, and belonging practices, visit this page.

Please note that the compensation range pertains to base pay

Location: Spain

What are we looking for:

We are looking for an AI Software Engineer with an AI-First mindset, focused on leveraging AI to optimize workflows, automate processes, and enhance applications. This role does not involve training models from scratch but instead focuses on implementing and integrating existing AI models and APIs into real-world applications.

What would you do at Fever?

• Configure and implement applications using Large Language Models (LLMs) and other Generative AI models (multimodal, AI agents, etc.).
• Integrate AI APIs and tools from providers like OpenAI, Anthropic, Google, Meta, Hugging Face, Stability AI, and others.
• Continuously improve and experiment with new AI architectures, frameworks, and best practices.
• Collaborate with development teams to incorporate AI-powered functionalities into the engineering processes and tools.

On your first month in Fever:

• Fully integrate into the team, participating in planning, reviews, and retrospectives while getting to know different departments within the company.
• Familiarize yourself with our tech stack, CI/CD workflows, and cloud infrastructure that support our operations.
• Have multiple Pull Requests (PRs) merged and running in production.
• Attend some of Fever’s original experiences, such as Candlelight.

After 3 months in Fever:

• Be actively involved in AI-powered automation, improving processes and workflows across engineering and product teams.
• Work on integrating LLMs and AI APIs into internal and external applications, ensuring smooth adoption of AI capabilities.
• Implement prompt engineering strategies to optimize AI responses and performance.
• Participate in hackathons and innovation days, collaborating with cross-functional teams.

On your 6th month in Fever:

• Own multiple AI-powered projects, optimizing engineering productivity and automation.
• Experiment with new architectures, frameworks, and best practices to enhance automation.
• Mentor and guide other engineers on AI adoption, best practices, and effective implementations.
• Help shape Fever’s AI strategy, ensuring ethical and efficient AI deployment.

About you

Must have skills:

• Bachelor’s and/or Master’s degree in Artificial Intelligence, Data Science, Mathematics, Physics, or Engineering fields.
• Programming: Strong proficiency in Python
• LLM Experience: Hands-on experience with integration of LLM into existing or new applications.
• Generative AI Techniques: Experience applying Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning.
• Production Deployment: Experience with Continuos integration and continuos deployment pipelines to take the code from development to production and monitoring

We use these technologies, so it would be a plus if you have experience in:

• Python - Django/Fast API
• Event-driven-architectures and highly distributed services. 
• Cloud Infrastructure on AWS
• Docker, Kubernetes, Terraform
• Datadog

Benefits & Perks

• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly anywhere in Spain
• Relocation package for international candidates
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English Lessons
• Wellhub Membership
• Possibility to receive in advance part of your salary by Payflow.
• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance and Stock Options

Join our Movement and Champion Restaurant Culture! 💚

At TheFork we believe that the best things in life happen around the table.
As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.

We’re part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive.
If you’re passionate about food, technology, and making a real impact, your seat at the table is ready.

👉 Discover life at TheFork

What you will do:

• Design, build, and evolve test automation frameworks and internal tooling (Playwright + TypeScript as primary stack)
• Act as owner of the test ecosystem, including repositories, architecture, and long-term maintainability
• Define and enforce testing standards, guidelines, and best practices across engineering teams
• Enable developers to write effective tests by providing abstractions, utilities, and reusable components
• Drive test architecture decisions (structure, layering, fixtures, data handling, isolation strategies)
• Collaborate with teams to improve testability of systems (APIs, frontend, data flows) without directly owning feature tests
• Own and optimize CI/CD test pipelines (e.g., Jenkins), focusing on speed, reliability, and scalability
• Identify systemic issues (flakiness, instability, slow feedback loops) and implement structural solutions, not patches
• Design and maintain test data management and environment orchestration strategies
• Define, implement, and evolve quality gates and metrics (coverage, reliability, execution time, signal quality)
• Support teams in debugging complex failures by providing observability and diagnostic tooling
• Explore and integrate AI-driven testing capabilities to improve productivity and test robustness
• Mentor engineers and promote a quality engineering mindset across the organization

Who you are:

You Must Meet These Critical Qualifications (Mandatory requirements to be listed here)

• 2 to 5 years of experience
• Strong experience as an SDET / Quality Engineer with a focus on frameworks and tooling, not just test implementation
• Excellent programming skills in TypeScript / JavaScript
• Proven experience designing and maintaining test frameworks at scale
• Hands-on experience with modern automation tools (Playwright preferred)
• Strong understanding of test architecture patterns (test pyramid, separation of concerns, isolation strategies)
• Experience enabling teams through libraries, SDKs, or shared tooling
• Solid experience with CI/CD systems (e.g., Jenkins), including pipeline optimization and debugging
• Experience with API testing (REST/GraphQL) and designing reusable testing layers
• Strong problem-solving skills focused on root cause analysis and systemic improvements
• Comfortable working cross-team and acting as a technical reference for quality
• Fluent in English (written and spoken)

You Can Impress With These Additions (“Nice to have” to be listed here)

• Experience building internal developer platforms or test platforms
• Deep expertise in Playwright ecosystem (custom reporters, fixtures, plugins, parallelization strategies)
• Experience with GraphQL testing tooling and schema-driven validation
• Familiarity with quality gate systems (e.g., SonarQube / SonarCloud) and defining engineering-wide standards
• Experience with test data platforms (dynamic data generation, seeding, environment control)
• Exposure to AI-assisted testing / LLM-based tooling
• Backend development experience (Node.js preferred)
• Experience with containerization (Docker) and ephemeral environments
• Strong understanding of observability (logs, metrics, tracing) applied to test systems
• Experience in organizations where testing is decentralized but governed centrally

What we offer you: 

😄 An awesome team 

🏠 A permanent contract (that can be useful in life) 

⚖️Flexible working environment (2 days home office per week +  up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)

💸 Competitive fixed salary and bonus 

🍕 Lunch vouchers available for each working day (because yes, we like to try our best restaurants)  

🌎 International teams and a multicultural environment spanning 10 offices across Europe

🤝 Highly inclusive working environment 

🤸‍♀️ Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc 

🎓 Continuous learning and development programs

😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey

🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)

🏥Health insurance covered by the company 

👶 Financial support for birth, adoption, civil partnerships, or marriage

🚝 Transport allowance

🏥Health insurance fully covered by the company 

👩‍🦽 Life & Disability Insurance at no cost to the employee

🍴 Amazing offices with dining, coffee points and leisure area    

🎤 Team building events

All hiring happens through our careers site and official email. We do not text or ask for payment during the hiring process. Please report any suspicious messages immediately.

We believe that we are better together, and we welcome you for who you are. We endeavor to ensure  that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under  applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great.

TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application,  interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to AccessibleRecruitment@TheFork.com. Our HR team will review the request and respond accordingly.

#LI-FF1

Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.

What you’ll do:

Cloud and platform engineering (DevOps):

• Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
• Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
• Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
• Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
• Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.

Operational excellence and reliability:

• Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
• Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
• Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
• Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.

Technical leadership:

• Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
• Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
• Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.

We’d be glad to have you on our team if you:

• Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
• Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
• Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
• Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
• Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
• Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.

#LI-YY1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1