Solutions Engineer

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 a Senior Solutions Engineer, you are a commercially minded technical specialist working as a strategic co-pilot alongside New Business Account Executives and Account Managers .Your primary mission is to drive revenue growth, accelerate deal velocity, and ensure technical win rates across active sales opportunities. You bridge the gap between complex technical capabilities and strategic business outcomes, translating Trustpilot's value proposition into compelling commercial solutions for upper mid-market and enterprise companies that instill technical confidence and convert prospects into long-term customers. You partner closely with sales teams during technical discovery to uncover high-value business challenges, map customer requirements to clear commercial outcomes, and drive Annual Contract Value (ACV) growth. This is a high-impact, customer-facing role that combines technical expertise with commercial influence. Success is measured by deal conversion rates, technical win rates, and the quality of handover to implementation. What you’ll be doing: Commercial Discovery & Strategy: Partner closely with Account Executives to uncover high-value business challenges, identify key technical decision-makers, and map customer requirements to clear commercial outcomes. Value-Driven Demonstrations: Deliver tailored, highly engaging product demonstrations that highlight ROI, competitive differentiation, and business impact to align with client commercial goals. Solution Architecture & Revenue Generation: Design and present scalable solution architectures that solve key business pain points, drive expansion, and maxi

ROLE/RESPONSIBILTIES: We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc. Responsibilities include: Exploring and combining rich internal and external textual datasets Building GenAI solutions, leveraging both internal models and external APIs Formulating research hypothesis to derive alpha Post-training models for specific tasks Benchmarking LLM approaches internal tasks We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact. REQUIREMENTS: Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline Experience in NLP, particularly LLMs. Proficient in Python, SQL and general software engineering principles (github, testing, etc.) Data science stack familiarity Interest in financial markets Collaborative mindset ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

The Opportunity Join Enigma's Growth & KYB Team at a pivotal moment as we continue to create sales and marketing solutions for small businesses. We're seeking an experienced Senior Software Engineer to develop and build innovative data products and systems that directly impact our customers and accelerate our growth. Your work will influence decisions for companies that employ half the U.S. workforce, creating tremendous value for our clients. The Role As a member of the Growth & KYB Team, you will: Design, develop and deliver data products that solve critical customer pain points and build scalable, high-quality systems that deliver rich interactions with our data. Engage with software engineers, data scientists, and product managers to create experiences that move a customer from discovery to evaluation to purchase. Analyze and extract value from data at scale, building efficient, maintainable production-grade data solutions. Create scalable and highly maintainable systems deployed in cloud environments. Own architecture and design decisions as well as hands-on implementation, ensuring that customer experiences are compelling and have low costs of ownership. What You’ll Do Operates with a bias for action and knows how to deliver value in the short, medium, and long term. Loves interacting with product teams and works hard to solve customer problems in a repeatable way. Adopts a principled, metrics-driven approach to difficult data problems and demonstrates excellence in their analytics and engineering craft. Operates transparently, collaboratively, and with low ego—loves learning from others and having their ideas questioned and challenged. Has a “can-do” attitude and thrives on a highly collaborative, cross-functional team that plays a critical role in the company’s success. Is eager to own architecture and design decisions as well as hands-on implementation. What Makes This Role Exciting? Impact : Develop products that take an innovative data-first appro

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. About the Role The GTM Engineer builds the automations, custom internal applications, and AI-native workflows that power our Go-To-Market operations. This role goes beyond traditional SaaS administration — you’ll act as a hands-on technical builder, leveraging AI coding assistants and LLMs to solve process bottlenecks and improve how our commercial teams work. When native tools like Salesforce or Marketo don't provide the experience or functionality our teams need, you’ll rapidly prototype and build custom solutions that streamline workflows and accelerate execution. You’ll partner closely with commercial stakeholders, product teams, and engineers to identify opportunities for improvement, reduce manual work, and continuously enhance the commercial lifecycle through technology and automation. What are your responsibilities? Custom Web Apps & Internal Tooling: Rapidly prototype and build lightweight, custom web applications and internal tools that improve the user experience and help commercial teams work more efficiently. AI & Systems Integration: Develop integrations between GTM tools, internal systems, and LLM APIs using REST APIs, webhooks, and modern automation platforms. Automation Development: Build, deploy, and maintain reliable automated workflows that eliminate manual processes and improve productivity across the or

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Implementation Engineer Adyen is looking for an Implementation Engineer to manage new implementations, enhancements for our existing customers and own pre sales calls for our quickly growing portfolio of merchants. This person will work with Adyen's largest merchants globally to solution, consult, troubleshoot, implement, and launch scalable technical integrations. This position is based in New York, and the ideal candidate is both consultative and technical. We are searching for Implementation Engineers with a solid understanding of, and proven experience with technologies like APIs and front end development, integrations, and project management. This person is also heavily motivated by providing an excellent customer experience throughout the project lifecycle. As an Implementation Engineer, this person will be the primary point of contact for our merchant's technical teams, guiding them through the design, development, testing, and launch phases of their integrations with Adyen's platform. In this role, the Implementation Engineer will have the opportunity to work on diverse projects that encompass various payment solutions, including Point of Sale (POS) systems, e-commerce platforms, marketplaces, and card issuing programs. By leveraging their technical proficiency and business acumen, the Implementation Engineer will play

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. WHAT YOU'LL DO Senior Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly extract insights from large, complex structured and unstructured data sets. As a senior member of our Data Engineering team, you will help set technical direction and work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets WHAT EXCITES YOU Technical leadership through hands-on development Having a broad impact on architecture and team processes Transforming