Research Communications Manager Jobs

JOB RESPONSIBILITIES A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. You will gain exposure to a variety of activities, which may include: Developing automated equities trading applications and real-time analytics Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases Work alongside quant researchers developing quant signals. Improving signal research and trading tools infrastructure DESIRABLE CANDIDATES Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline 5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm Strong programming experience in Python with production-level coding quality Experience with containerization and orchestration technologies, particularly Docker Experience with Unix environment and shell scripting Knowledge of profiling (e.g. VisualVM, async-profiler) and code optimization is a plus Knowledge of statistics and machine learning is a plus Willing to take ownership of his/her work, working both independently and within a small team Prior experience in the financial services industry is a plus Commitment to the highest ethical standards

About Karya Karya provides AI-enabled earning and learning opportunities to economically underserved communities, and high-quality, ethically sourced datasets to research labs and technology companies. Digital workers earn at least 20 times the local minimum wage. The platform has delivered over 40 million tasks. About the role This role runs live client projects on the Karya platform. The work is the execution layer above the core product: project workflows, data jobs, checks, reports, and delivery. You will work with Operations and client teams on questions of progress, quality, pay, and files, and with platform engineers when a fix belongs in the product. Worker payouts and client deliverables depend on getting these checks right. Responsibilities • Run and monitor data jobs on remote Linux servers, and recover failed jobs from logs and process state. • Configure project workflows, including the handoff from automated processing to human tasks, and track what is in progress, held, or ready to deliver. • Write PostgreSQL and ClickHouse queries for throughput, completion, quality, pay, and delivery status. • Apply completion and quality rules to access, pay, and delivery decisions, after a sample check. • Write Python, SQL, or Bash scripts for those checks and decisions, and keep them in the repository. • Package datasets to client specifications, move them through cloud object storage, and record what has shipped. • Read the TypeScript / Node.js codebase to follow tasks, assignments, payments, and file storage. • Reply to Operations and client teams with the finding, the change made, and what is still open. • Report repeated manual work to platform engineering, with an example. Requirements • PostgreSQL, including joins, aggregates, and JSON fields. • Scripts in Python, Bash, or TypeScript, checked into git. • Ability to read a TypeScript codebase and a relational schema. • Linux for running jobs: SSH, logs, long-running processes, and disk. • Ability to write tec

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end. Main Responsibilities Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This will involve designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of Snorkel’s tooling. Develop and implement state of the art AI systems such as retrieval-aug

ABOUT US At Experient, we partner with organizations to solve complex business challenges through innovative technology and strategic consulting solutions. Our Experience practice helps clients understand their customers deeply and turn that understanding into experiences, services and products that drive measurable business results. We bring the right blend of customer empathy and business pragmatism to every engagement, partnering with enterprise organizations on everything from foundational customer research and journey strategy to large-scale experience transformation. ABOUT THE ROLE We are seeking a Customer Experience Strategy Consultant to join our Experience practice. In this role, you will help clients understand who their customers are, what they need and where their experiences break down, and then translate those insights into strategies, roadmaps and solutions that create value for both customers and the business. You will do hands-on work across customer research, journey and service design and CX measurement, partnering closely with client stakeholders and with Experient’s product, technology and data teams to bring strategies to life. ABOUT YOU You’re smart, insatiably curious and deeply empathetic toward your clients and their customers. You may have honed your craft at an agency, a CX or design consultancy or a boutique firm, and you’re comfortable owning work end to end, from framing the problem and running research to facilitating workshops and presenting recommendations to executives. You understand that great customer experience is as much science as it is art: you’re as comfortable with data and business cases as you are with sticky notes and journey maps. You love solving hard problems with smart, collaborative people, and you care a lot about delivering excellence. Location: Atlanta, GA; Hybrid work environment with travel as required. WHAT YOU’LL DO Partner with client leaders to define customer experience strategies, visions and priorities

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 1. Key Responsibilities: Process Optimization: Establish, monitor, and optimize daily assembly process parameters to ensure stable production lines. Troubleshooting & Failure Analysis: Lead the containment and root-cause analysis of manufacturing defects and process abnormalities. Yield & Quality Improvement: Implement Statistical Process Control (SPC) to reduce process variation, drive yield enhancement, and prevent quality excursions. Documentation: Author and update standard operating procedures (SOPs), failure mode and effects analysis (FMEA), and technical reports. Cross-functional Support: Collaborate with equipment, product, and quality engineering teams to resolve technical bottlenecks. 2. Role Requirement Work Experience: 0 to 2 years of experience in semiconductor manufacturing, packaging, or assembly processes (Fresh graduates with a strong research background in related fields are highly welcome). Work Environment: Ability to work in a cleanroom environment and flexibility to support on-call rotations or shifts when critical production issues arise. Attributes: Strong analytical thinking, proactive problem-solving mindset, and a high degree of self-motivation. 3. Education Degree: Master’s degree (M.S.) is required. Engineering, Electrical Engineering, Physics, or a related STEM discipline. 4. Skills and Experience Core Technical Knowledge: Fundamental understanding of semi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 1. Key Responsibilities: Process Optimization: Establish, monitor, and optimize daily assembly process parameters to ensure stable production lines. Troubleshooting & Failure Analysis: Lead the containment and root-cause analysis of manufacturing defects and process abnormalities. Yield & Quality Improvement: Implement Statistical Process Control (SPC) to reduce process variation, drive yield enhancement, and prevent quality excursions. Documentation: Author and update standard operating procedures (SOPs), failure mode and effects analysis (FMEA), and technical reports. Cross-functional Support: Collaborate with equipment, product, and quality engineering teams to resolve technical bottlenecks. 2. Role Requirement Work Experience: 0 to 2 years of experience in semiconductor manufacturing, packaging, or assembly processes (Fresh graduates with a strong research background in related fields are highly welcome). Work Environment: Ability to work in a cleanroom environment and flexibility to support on-call rotations or shifts when critical production issues arise. Attributes: Strong analytical thinking, proactive problem-solving mindset, and a high degree of self-motivation. 3. Education Degree: Master’s degree (M.S.) is required. Engineering, Electrical Engineering, Physics, or a related STEM discipline. 4. Skills and Experience Core Technical Knowledge: Fundamental understanding of semi

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We're hiring a Director of Data Partnerships to lead a new function at Snorkel. You'll own the supply side of our data partnerships end-to-end: setting the strategy for how we source and procure private data, building the partner / supplier pipeline, structuring agreements, and working with the business to bring it all to life. It is an entrepreneurial, external-facing role that will drive top-of-funnel and convert opportunities into real value. The market for training data partnerships is nascent and rapidly changing - business judgment is key to success in this role. Finally, cross-functional collaboration and a sense of overall ownership are key to ensuring we get value from the partnerships we strike. This role will require hands-on, zero to one work. You'll be sourcing, qualifying, and negotiating directly. You'll own the funnel, form a sound but swift view on whether an opportunity is worth pursuing and know which terms to offer and how to negotiate them to close. You'll carry those relationships forward after signature rather than handing them off. As the function proves out, you'll build a small but mighty team behind you and shift toward setting direction, standards, and performance expectations. This is a high-impact role for someone with sharp commercial judgment, meaningful experience in licensing and IP, the creativity and range to operate in a market whose economics and value chain are still being defined - and, critically,

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. We’re looking for a curious, motivated Consumer Insights Analysts to join our fast-paced team in the future! This is not a current opening however we are eager to find upcoming talent! In this role, you’ll help bring the consumer voice into every stage of product development—supporting research design, analyzing consumer data, and collaborating with cross-functional teams to translate insights into action. At SharkNinja, you won’t just support products that transform everyday life—you’ll grow in a high-performance, innovation-driven culture where your curiosity and contributions matter. Essential Functions: Assist in leading the development and execution of robust qualitative and quantitative research plans to uncover consumer needs , category trends, and whitespace opportunities that inform product innovation and business strategy. Help develop and master an und

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . With more than 640 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else. As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns how Sapience AI serves intelligence at scale. You build and run the inference infrastructure that turns the models and reasoning behind MINERVA and COGENT into fast, reliable, affordable answers for members. You work where models meet production: serving, scaling, latency, and cost. Every time a member asks the platform something, your systems are what make the answer arrive quickly and hold up under load. You sit close to applied AI, research, and platform engineering, and you make the difference between a model that works in a notebook and one that serves a community reliably. Why this role exists Collective intelligence is only useful if it is fast and dependable. Members will not wait, and communities cannot rely on a platform that buckles under load or costs too much to run. Serving modern AI at scale is a hard systems problem: large models, tight latency budgets, expensive hardware, and demand that spikes. It takes real infrastructure engineering to get right. The AI/ML Infrastructure and Systems Engineer owns that problem. You make inference fast, reliable, and affordable, so the intelligence the platform promises actually reache

About Scale Scale builds AI systems for decisions that matter. We started out providing the data and evaluation behind many of the world's leading models, and we still work with the major frontier labs on research and post-training. Today we also build full applications: we take an organisation's own data and expertise, forward deploy alongside their teams, and build the systems they come to rely on, powered by the Scale GenAI Platform. The Role Defence is under pressure to adopt AI at pace. The 2025 Strategic Defence Review and the Defence AI Strategy push for AI to move from experiment to operational capability, Defence Digital and UK Strategic Command are driving digital and data programmes across the department, and the enabling organisations are being asked to field reliable systems, not pilots. Scale wants to play a foundational role in building the dependable AI applications that shift depends on. We're looking for someone to lead that work across UK defence and the national security community. You'd own our commercial relationships across the Ministry of Defence and its enabling organisations - Defence Digital, UK Strategic Command, DE&S, and Dstl - and the broader defence and security customer base. This is a critical role reporting directly to the new Public Sector leader. You'd carry a number, win deals yourself, and build a small team behind you as the work grows. It suits someone who has sold into defence before and knows how it actually makes decisions, not just how the org charts look. What you'll do Own our commercial plan and pipeline for UK defence and security Find, shape, and close deals yourself, from the first conversation through to contract and into delivery Use the relationships you already have across the MOD, Defence Digital, UK Strategic Command, DE&S, Dstl, and the security and intelligence community Work the defence routes to market, and know which are worth the effort and which aren't (the Defence Sourcing Portal, DASA, JOSCAR

About Scale Scale builds AI systems for decisions that matter. We started out providing the data and evaluation behind many of the world's leading models, and we still work with the major frontier labs on research and post-training. Today we also build full applications: we take an organisation's own data and expertise, forward deploy alongside their teams, and build the systems they come to rely on, powered by the Scale GenAI Platform. The Role Defence is under pressure to adopt AI at pace. The 2025 Strategic Defence Review and the Defence AI Strategy push for AI to move from experiment to operational capability, Defence Digital and UK Strategic Command are driving digital and data programmes across the department, and the enabling organisations are being asked to field reliable systems, not pilots. Scale wants to play a foundational role in building the dependable AI applications that shift depends on. We're looking for someone to lead that work across UK defence and the national security community. You'd own our commercial relationships across the Ministry of Defence and its enabling organisations - Defence Digital, UK Strategic Command, DE&S, and Dstl - and the broader defence and security customer base. This is a critical role reporting directly to the new Public Sector leader. You'd carry a number, win deals yourself, and build a small team behind you as the work grows. It suits someone who has sold into defence before and knows how it actually makes decisions, not just how the org charts look. What you'll do Own our commercial plan and pipeline for UK defence and security Find, shape, and close deals yourself, from the first conversation through to contract and into delivery Use the relationships you already have across the MOD, Defence Digital, UK Strategic Command, DE&S, Dstl, and the security and intelligence community Work the defence routes to market, and know which are worth the effort and which aren't (the Defence Sourcing Portal, DASA, JOSCAR

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We are hiring a Director of Expert Supply Growth to build and lead the engine that brings high-quality experts into Snorkel’s AI Expert Network. This role is hybrid ( 3 days/week in office) in San Francisco, CA or New York, NY. This role owns supply acquisition end to end: translating demand for specific skills and domains into a channel strategy, then ensuring those channels produce qualified experts who activate, complete accepted work, and remain available when the business needs them. You will lead a portfolio that includes scaled acquisition, referrals and community, partnerships with industry organizations and higher-education institutions, and BPO and staffing partners. You will decide which levers to use by domain, geography, worker type, lead time, quality, and economics, then build the team, systems, partnerships, and operating cadence required to scale them. What You’ll Do Define the long-term expert acquisition strategy. Determine how Snorkel will attract, develop, and retain the expert capabilities that strengthen its AI Expert Network as a strategic asset. Build a differentiated base of human intellectual capital through distinctive sourcing channels, trusted communities and partnerships, and durable expert relationships. Focus investment on capabilities and network strengths that improve the company’s ability to serve customers and are difficult for competitors to replicate. Own the end-to-end supply growth str

About Us: Blockworks is an information platform that sits at the center of the crypto industry. We transform raw, complex data and facts into actionable research, trusted alpha-driven insights, and world-class events. The result is transparency and confidence. Blockworks connects investors and businesses in onchain capital markets. We give businesses a platform to earn trust and provide investors with the information they need to underwrite the asset class. The Role We’re hiring two BDRs to start our outbound team. The job is outbound. We sell data and software to fintechs, exchanges, banks, enterprises, and tech companies building in crypto. Your role is to find the right person at those companies and get them on a call with our sellers. We're scaling fast and many of our systems are still getting built. You'll figure a lot out on your own here. What You'll Do Run outbound on every channel: email, phone, X/Twitter, LinkedIn, Telegram, warm intros, etc Make cold calls and run the first qualification conversation yourself Book qualified meetings for our sellers and hand them off with enough context that the seller walks in prepared Leverage our DAS conference to generate qualified meetings for our sellers Write down what works. You’re the first two hires on our BDR team so we need to build a scalable system You're the Right Fit If You understand how to use AI to do more than just draft emails High volume outbound doesn't wear you down Your cold emails get replies You're comfortable on the phone with an executive Rejection doesn’t bother you You find crypto interesting enough to follow it on your own time [Ideally] You've carried an outbound meeting quota and hit it How You're Measured and Paid You're measured on qualified meetings, meaning meetings our sellers accept and that happen. Your variable pays on that same number and it's uncapped. Base salary of $60,000 - $70,000 with OTE of $90,000 to $110,000, depending on experience. You'll work directly with our sellers

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Our EPD Recruiting team builds the teams that build Plaid. We partner with leaders across Engineering, Product, Design, Data, and Security to deliver thoughtful, candidate-first recruiting experiences that raise the bar for how we scale. We are responsible for delivering world-class technical talent through pragmatic, data-informed, and principle-aligned recruiting practices. We believe the hardest hires are won upstream, in the research and the reach-out, long before a loop is ever scheduled. Our goal is to help Plaid grow intentionally by hiring exceptional people who share our values and drive our mission to unlock financial freedom for everyone. We are hiring a Senior Technical Sourcer to build the pipelines behind Plaid's most difficult technical searches. You will own the top of the funnel across software engineering, infrastructure, data science, AI/ML, and security, from market research and pipeline strategy to qualified candidates entering the interview process. This role is for a deep researcher. Many of the people we need are not always findable by title alone, do not respond to templated outreach, and are not on any list you can buy. You will find them anyway, by mappi