Research Technology Support in Amsterdam

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern ML stack (PyTorch and/or

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

REQ ID: CSQ427R198 Location: Amsterdam, Netherlands Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow our EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Head of EMEA AI FDE. The impact you will have: Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions Lead strategic AI PS initiatives, practice development, and standardised delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy Own OKRs for AI-services led accounts, revenue, utilisation, and public references Represent Databricks as a thought leader in AI/ML What we look for: Extensive experience managing, hiring, and building a team of high-performing data

Become an intern at the most recognised design agency in the world. Gain inspiring experience, work with and be mentored by extraordinary creative talent, start your journey with an idea… Terms: Design students, with a valid EU passport, can apply within their time of studying for a qualification or degree. Placements are available through the year and for a minimum of 3 months. Successful applicants will be interviewed and potentially placed. What you’ll do: Work alongside experienced designers with a dedicated mentor Work on branding and packaging projects Develop and expand design concepts, including research into brand worlds and design processes Gain experience from all stages of the design process, from concepts to artwork Send us your portfolio and a short introduction letter. Selected students will be invited for an interview and possible placement. #LI-DNI #LI-DNP

AI Engineer - FDE (AI Forward Deployed Engineer) Req ID: CSQ427R333 Location: Location: Amsterdam, Netherlands - Candidates to be based in the Netherlands region only (no remote working available from any other country) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTo

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As AI reshapes how consumers search, discover, and choose brands, Trustpilot’s unique dataset of authentic human sentiment is becoming increasingly critical. We are uniquely positioned to define how trust and reputation function in an AI-driven digital economy and we’re building an inclusive environment where curious, ambitious people can do the best work of their careers. To support Trustpilot’s rapid expansion, we’re looking for a Student Assistant to join our BENELUX Sales Team in Amsterdam. With us you’ll have the opportunity to try new things and figure out where you want to take your career. We hope we’ve grabbed your attention so far, please keep on reading for more details about the role. What you’ll be doing: In this role you will be supporting the sales team with both low and high tasks such as: Research and identify potential leads Use lead generation tools to gather contact information Qualify leads based on specific criteria Maintain accurate lead records in the CRM system Collaborate with the sales team for correct lead handoff and knowledge sharing Coordinate customer-facing materials, including documents, presentations, design and other sales collateral Support event planning and coordination, including lead management before and after events, and run email cadences and outreach activities on behalf of the sales team We’d like you to be able to work approximately 10-20 hours per week, but we are of course flexible depending on what your study schedule looks like. Who you are: You have a positive, proactive mindset and are eager to learn You’re interested in commercial organizations and how they operate You have a strong motivation

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. The Enterprise Business Development Representative plays a critical role in the growth of the company’s enterprise customer base. This role is responsible for identifying, qualifying, and developing new high-value business opportunities within large-scale organizations. He/she prospects into a target list of Enterprise accounts, with the aim of uncovering opportunities to sell Jamf products. He/she will leverage our Channel partners, as well as social media, webinars, events, phone and sales tools such as Groove, in order to build relationships with decision makers and advise on Jamf’s solutions to solve business challenges. The Enterprise BDR will collaborate with Marketing and one or more Key Account Manager(s) to identify target accounts, initiate contact with decision makers, and nurture prospects through early stages of the sales cycle. This role is offered as hybrid , with the expectation to be in the office in Amsterdam Zuid 3 days per week. We are only able to accept applications for those based in the NL and have sponsorship to live and work in the NL # LI -Hybrid What you’ll do at Jamf: Prospecting & Outreach Identify and research target enterprise accounts that align with Jamf’s ideal customer profile. Conduct outbound outreach (email, phone, LinkedIn, events) to initiate conversations with key stakeholders and decision-makers. Generate qualified leads and set up meetings or demos for Enterpr

SLSQ427R332 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. As an Enterprise Account Executive at Databricks, you come with relevant experience selling to Enterprise accounts. As a successful candidate you are a self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth. You will report to the Sales Director for Enterprise Sales Benelux. The impact you will have: Assess your territory and develop a successful execution strategy Drive quarter-on-quarter consumption growth in existing accounts Exceed activity and quarterly revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Identify new use case opportunities and showcase value to existing customers Promote the value of the Databricks' Data Intelligence Platform Ensure 100% satisfaction among all customers What we look for: Good understanding of the data platform and cloud ecosystems Some exposure to the software industry and understanding of selling SaaS, Data and Business Value Experience growing consumption and closing commit deals in a direct sales role Competent with prospecting research and ability to map out key stakeholders Advanced understanding of MEDDPICC Experience exceeding sales targets/quotas Bachelor's Degree or relevant work experience Fluency in English is require