Research Communications Manager Jobs

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors. Approximately 170 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here. We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team’s primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques. The Machine Learning Analyst’s primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects. The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ide

About the role: Datadog is building a product-led Competitive Intelligence function to help inform product strategy, roadmap prioritization, positioning, and competitive readiness. As the Head of Competitive Intelligence you will build and lead the CompIntel function across priority competitors and adjacent market opportunities. You will translate competitor product evolution, technical capabilities, launches, pricing value, customer sentiment, analyst narratives, and ecosystem shifts into actionable insights for Product, GTM, Sales Engineering, Customer Success, Technical Advocacy, and leadership. In this highly technical, hands-on leadership role, you should understand how observability products are implemented, where workflows differ, what technical claims are credible, and how product gaps translate into customer impact. What You'll Do: Own the recurring competitive radar for Datadog’s priority competitor set, including taxonomy, source standards, evidence quality, and update cadence. Produce competitive deep dives, feature-gap analyses, early-warning briefs, and opportunity assessments tied to specific product domains and leadership questions. Translate CompIntel findings into roadmap recommendations, product differentiation hypotheses, and Product-facing decision guidance. Build and maintain a central CompIntel repository with competitor profiles, source notes, comparison frameworks, evidence logs, and decision-ready briefs. Convert validated findings into GTM-ready handoffs for battlecards, objection handling, strategic deal narratives, and field enablement. Synthesize signals from Product, Engineering, Sales Engineering, Customer Success, field teams, technical communities, Advocacy programs, win/loss, customer feedback, analyst research, public competitor materials, and CABs. Partner with Product Management to frame competitive questions, identify decision criteria, and connect findings to roadmap and prioritization discussions. Partner with Tec

The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here — from strategy to product to process improvements — conceptualizing, launching, and iterating on Asana itself for millions of teams around the world. We are looking for a product manager to join Asana’s Work Intake team, which enables teams of humans and agents to get more work context into Asana and seamlessly execute on it. You’ll be responsible for defining the path to product-market fit for new work intake capabilities, for both internal and external customers. You’ll synthesize and prioritize customer and market feedback into product features that can move the needle, and set a compelling roadmap that delivers maximum return on investment. You’ll develop capabilities that other internal teams can incorporate into their product solutions and collaborate with partner teams to develop joint solutions where your surface areas and responsibilities overlap. We are looking for someone who can find the signal in the noise, with deep customer empathy for high-complexity team collaboration workflows. The ideal product manager has an end-to-end ownership mindset and drives for results by breaking work into clear increments, sequencing dependencies, leveraging data and AI, and collaborating with technical partners on tradeoffs affecting reliability and performance. You thrive on learning from customers, and are excited to partner with engin

About the Team The Core Models team helps shape how OpenAI’s frontier models are built, measured, and launched. We work across Research, Engineering, Model Design, Data Science, and Product to turn advances in model capabilities into reliable, useful experiences for people. Our scope includes model planning and launches as well as building data flywheels, evaluations and measurement systems to ensure our models have strong capabilities and behavior. About the Role As a Product Manager for the Core Models team, you'll be at the forefront of defining and guiding the future of how our AI models work in real-world applications. You will connect user needs to model and systems decisions: how prompts are understood; how information is aggregated and made useful for training and evaluation data; and how capabilities move from research prototypes into the mainline model and launch stack. You will operate comfortably across research, infrastructure, and consumer product surfaces, creating clarity where ownership and technical boundaries are still emerging. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Translate user and product goals into clear model requirements, system architecture choices, and research priorities across query understanding, indexing, retrieval, ranking, tool boundaries, data, training, inference, and evaluation. Build closed learning loops that turn product usage, explicit feedback, and other user signals into datasets, evaluations, experiments, training priorities, and launch decisions. Define success across offline evaluations and online product metrics, balancing model quality, usefulness, latency, safety, reliability, and cost. Partner closely with post-training research, applied product engineering, Model Design, and Data Science to integrate capabilities into the mainline model stack. Create reusable platforms and operatin

About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Manage key risk areas and corresponding stakeholders. Keep track of a stack of existing and future mitigations for every major product and model deployment. Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. Manage pre-launch safety reviews. Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. Help with publishing and open sourcing safety

Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds specialized models that replace frontier models where they are not necessary, making AI capabilities faster, cheaper, and more secure. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As a Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists focused on cost-efficient specialized models and AI security capabilities Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality Navigate the unique challenges of shipping AI-powered products: balancing quality, latency, cost, and safety considerations. Drive evaluation and iteration practices for AI systems: define the quality bar and guide the team in building the offline

About the Team Our economics team is continuously working to improve our understanding of an AI-driven economy. About the Role We are seeking a highly technical Economist to join the OpenAI Economic Research team studying the real-world economic impacts of AI. This role is designed for economists with up to 5 years of professional experience post-Ph.D. who are interested in using novel, large-scale datasets to study how AI is reshaping economic systems. We are looking for candidates with deep expertise in at least one core domain relevant to AI’s economic impact, and an interest in contributing to a broader research agenda spanning labor markets, firm behavior, market dynamics, and macroeconomic change. This is an individual contributor role where the candidate will organize and execute on their own data-oriented projects. You will work at the intersection of economic research, data science, and public policy to produce rigorous empirical work that informs decision-makers across the public, industry, and government. Research Areas of Interest We are particularly interested in candidates with demonstrated expertise in one or more of the following areas: Economic Measurement of AI Impact (e.g., adoption trajectories, labor market transitions, productivity growth, and forecasting/scenario modeling for AI-driven economic change) Macroeconomic Implications of AI (e.g., productivity, technology diffusion, economic growth) AI and the Labor Market (e.g., employment, wages, job search, task-level impacts, skill acquisition) Applicants are not expected to have experience across all domains. We aim to build a team with complementary strengths across these areas. In this role, you will: Design and execute empirical research using large-scale observational or experimental data. Apply causal inference and/or structural modeling techniques to study AI-driven economic change. Collaborate with cross-functional teams to translate research questions into testable frameworks and applic

At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. We’re looking for a Field Marketing and Events leader to continue to build and manage Scale’s robust Gen AI and Research field marketing and events program, including but not limited to Scale hosted executive events, Scale hosted practitioner events and meetups, research conferences, and our annual flagship conference, AI Leadership Summit. You will join a rapidly growing team with the opportunity to manage and execute events from start to finish, drive lead generation and pipeline growth, and plan event programming with the largest names in AI. The successful candidate will have a solid understanding of technology, model builder, and research markets, strong project management skills, a strategic mindset, ability to manage and grow a team, and a passion for AI & technology. You will: Own annual planning for all Gen AI and Research events including strategy and budget Establish event activities in line with sales goals and deal acceleration, prioritizing goals from the go-to-market leadership and business development teams on event location and audience Manage team of field marketing and events managers who will execute on planning and logistics. This role should have a player-coach mentality and ability to also execute on nuts to bolts planning for all executive dinners, meetups, happy hours, sponsored trade shows, and hosted conferences Manage contractor relationships including event production firms and outside vendors, and event budgets Align with growth marketing on marketing campaigns and marketing qualified lead (MQL) reporting Track event campaign performance, measuring ROI, results, and metrics through Salesforce and own any course correction for events that are not performing Own all aspects of Scale hosted conference, Scale AI Base Camp, including venue selection, vendor management, logistics, speaker

About the Brand Laneige is a globally renowned Korean skincare brand with over 25 years of research on hydration, with top-rated modern technology, high-quality ingredients and award-winning formulas that reveal glowing, radiant skin. The brand is fast-growing and rapidly expanding in the US - currently distributed in Sephora, Sephora Kohl’s, Amazon and its own brand e-commerce site. We are seeking a highly analytical and results-driven Trade Marketing Manager to support Laneige's retail business across Sephora US and Sephora at Kohl's. This role will be responsible for developing and executing retailer marketing strategies that drive sales, increase brand visibility, and improve overall business performance across both brick-and-mortar and digital channels. The ideal candidate has strong experience working with prestige beauty retailers, particularly Sephora, and understands how to leverage promotions, digital merchandising, retail media, product launches, and retailer partnerships to accelerate growth. Title: Manager / Sr. Manager , Trade Marketing Retail Marketing Strategy & Performance Partner with Sales and leadership to support retailer-specific marketing strategies that drive brand awareness, visibility, and business growth. Evaluate the effectiveness of marketing programs, product launches, promos, and retailer activations, identifying opportunities for optimization. Analyze program performance and key retailer metrics to develop recommendations and support future planning. Track and report on key performance indicators related to marketing initiatives, launches, digital programs, and promotional events. Support forecasting and planning discussions for key launches, promotional moments, and retailer marketing programs. Retail Marketing & Laun

About the Team The Agent Enablement team works across engineering, product, design, and research to bring our technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, and platform barriers. Our commitment is to facilitate the use of AI to enhance lives, supported by rigorous insights into how people use our products. About the Role We are looking for experienced full-stack engineers to join our new Agent Enablement team. Our goal is to design and grow an open ecosystem of agent-enabled sites and services. This is a wide-ranging role: you’ll build new user and agent identity protocols, user experiences to control and observe agents across web, desktop, and mobile, and much more. We will rely on you to drive our technical decisions while also steering our product and partnership direction, optimizing for both short-term impact and long-term success of the ecosystem. We value engineers who are impact-driven, autonomous, and adept at removing barriers to forward progress. In this role, you will: Design the primitives and protocols for an open agent ecosystem, enabling our users’ agents to make the best use of sites and services across the internet. Build a next-generation user experience to observe and control agents, across web, desktop, and mobile. Evolve our approach to token consumption across subscriptions and API customers. Execute on fast-paced projects in collaboration with research, design, data science and other product engineering teams. Work closely with our strategic customers and partners to grow the ecosystem. You might thrive in this role if you: Have strong full-stack engineering skills and experience shipping customer-facing products from concept to production. You’re comfortable working across frontend, backend, APIs, data models, and product desig

Set the direction and shape the science behind who gets hired. At Gallup, our pre-hire assessment science is backed by decades of research, millions of data points and a body of work that has influenced how organizations select talent around the world. We are looking for a director to lead the next chapter of that science in close partnership with the researchers, technologists and client teams who carry it to market. The work of our Hiring Analytics practice spans the full range, from building proprietary instruments to curating and validating the best of what already exists. Leading this practice requires exceptional judgment to choose the right solution and strategic vision to modernize and advance assessment science in a rapidly evolving industry. This is a player-coach role in the truest sense: senior enough to set where the portfolio goes, yet close enough to the methods that the work still carries your fingerprints. You will guide the practice into adaptive testing, AI-augmented assessment and modern validation while developing a small, senior team that grows because you are in the work alongside them. What You’ll Do Lead the construction and validation of assessments from the ground up across cognitive, behavioral, situational and work-sample formats: item writing at scale; scale development; IRT calibration; and the criterion, content and construct validation that hold up to EEOC and Uniform Guidelines scrutiny. Partner directly with clients , scoping needs, shaping solutions, presenting psychometric findings and defending the science with equal fluency to legal teams, executives and non-technical stakeholders. Build structured interview systems at speed, developing

Set the direction and shape the science behind who gets hired. At Gallup, our pre-hire assessment science is backed by decades of research, millions of data points and a body of work that has influenced how organizations select talent around the world. We are looking for a director to lead the next chapter of that science in close partnership with the researchers, technologists and client teams who carry it to market. The work of our Hiring Analytics practice spans the full range, from building proprietary instruments to curating and validating the best of what already exists. Leading this practice requires exceptional judgment to choose the right solution and strategic vision to modernize and advance assessment science in a rapidly evolving industry. This is a player-coach role in the truest sense: senior enough to set where the portfolio goes, yet close enough to the methods that the work still carries your fingerprints. You will guide the practice into adaptive testing, AI-augmented assessment and modern validation while developing a small, senior team that grows because you are in the work alongside them. What You’ll Do Lead the construction and validation of assessments from the ground up across cognitive, behavioral, situational and work-sample formats: item writing at scale; scale development; IRT calibration; and the criterion, content and construct validation that hold up to EEOC and Uniform Guidelines scrutiny. Partner directly with clients , scoping needs, shaping solutions, presenting psychometric findings and defending the science with equal fluency to legal teams, executives and non-technical stakeholders. Build structured interview systems at speed, developing

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Security Team Okta is The World's Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transform how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every box—we're looking for lifelong learners and people who can improve us with their unique experiences. Join our team! We're building a world where Identity belongs to you. The Staff Product Security Engineer Opportunity The Security team's mission is to strengthen Okta's position as the leading Identity-as-a-service solutions provider by identifying and resolving risks to employees, products, and, most importantly, our customers. The Staff AI Product Security Engineer joins a team with a clear mission: to shape the future of application security by researching and building systems that prove how AI can fundamentally augment, automate, and scale defense. This is a hybrid research, offensive and software engineering role centered on leveraging AI to uncover vulnerabilities, automate root cause analysis, automate exploitation, and generate secure code patches at cloud scale. This role is built for engineers who want to push the limits of what AI can do for security, from benchmarking SOT

About the Team The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely. The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting. About the Role We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems. You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity. In This Role, You Will Lead and grow a high-performing Trust & Safety Data Engineering team. Define the roadmap and technical strategy for Trust & Safety data systems. Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring. Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting,

About The Role Together AI is rapidly scaling its compute infrastructure across multiple sites and deployment types. The Associate, Infrastructure Strategy & Operations will be the analytical backbone of the Infrastructure Strategy team, powering the research, benchmarking, and operational analysis across the team's core workstreams, including capacity planning, compute sourcing, vendor evaluation, and site selection. You'll be the person who keeps the team organized and well-informed as infrastructure scales, partnering closely with Infra Eng and Finance to ensure timely, data-backed decisions. Responsibilities Support the Infrastructure Strategy team's planning process by gathering data, running comparisons, and preparing materials and recommendations for leadership reviews. Build internal trackers and dashboards that help the team monitor infrastructure deployments, vendor pipelines, and compute allocations across products and customers Maintain and improve the team's sourcing comparison frameworks across location, vendor, and site evaluation workstreams, in partnership with Finance and Infra Eng. Run analyses to support capacity allocation decisions. Research and evaluate data center sites and energy sourcing options, comparing power availability, connectivity, permitting timelines, deployment readiness, and reliability. Champion process improvements across the Infrastructure Strategy function, collaborating cross-functionally with Engineering, Data, and Finance to design AI-native workflows that streamline operations and automate repetitive analysis. Take on ad hoc analytical projects as priorities evolve, operating with speed and minimal direction. Requirements 3+ years of experience in management consulting, business operations, strategy, or a similar analytically rigorous role. Proficiency in Excel/Google Sheets, familiarity with SQL or data visualization tools, and comfort with AI productivity tools (e.g., Claude Code, Codex). Strong quantitative skills