C

Cint

Automates digital survey-based market insights

Senior People Partner - Technology & Product

Full-TimeUpdated on 10/23/2026
No salary listed
Senior
London, UK
Remote
People & HRHR Generalist & Employee Relations

About the job

Requirements
  • You have worked closely with research and development or engineering teams and understand how they operate.
  • You have been part of meaningful transformation, rather than only refining existing processes.
  • You are comfortable dismantling and rebuilding core human resources systems when they do not fit.
  • You are genuinely curious about artificial intelligence and the future of work.
  • You are comfortable working in fast-moving environments where clarity may come late.
  • You believe People is a core driver of business performance, not a support layer.
Responsibilities
  • Work with engineering and product leaders to rethink organizational structures, team topology, and ways of working in an artificial-intelligence-accelerated environment.
  • Translate changes in artificial intelligence into decisions about roles, skills, productivity, and team composition.
  • Rebuild People products and processes, including performance, hiring, onboarding, merit, and talent, to make them more effective for builders and reduce bureaucracy.
  • Define strategic direction and ensure it is implemented in practice.
  • Identify future capabilities early and ensure the organization has the talent to meet them.
  • Help leaders operate amid ambiguity, make faster and better decisions, and build teams that avoid burnout and maintain momentum.
  • Strengthen judgment, creativity, trust, and collaboration as artificial intelligence scales.
  • Use data and insights to inform decisions while applying judgment where needed.

About the company

C

Cint

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Website

Cint provides a platform for digital market research by running surveys through the world’s largest consumer network. It connects over 149 million engaged respondents across more than 130 countries and serves more than 3,000 clients. How it works: clients use Cint’s platform to design, target, and manage survey projects in a single interface, leveraging automation and broad reach to collect insights quickly. It generates revenue through a mix of subscription access to the platform and transactional fees for specific projects. How it stands out: Cint offers a massive, globally distributed respondent pool with precise targeting, enabling clients to run all sample projects within one user-friendly system, which speeds up data collection and scales research. Its goal: to help businesses gather valuable consumer insights faster and more efficiently at scale.

Company Size

501-1,000

Company Stage

IPO

Headquarters

Stockholms kommun, Sweden

Founded

1998

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Simplify's Take

What believers are saying

  • August 2026 private ownership unlocks faster investment in AI, data, and media measurement.
  • September 2026 self-service brand-and-sales lift cuts study setup from days to minutes.
  • Kantar’s 2026 expanded agreement validates Cint’s scale with enterprise buyers worldwide.

What critics are saying

  • Triton and Bolero own 97.8%; delisting shrinks liquidity and public scrutiny.
  • Alesia Braga’s departure and Brett Schnittlich’s interim role signal product leadership instability.
  • Research buyers can shift to cheaper AI-native panels, collapsing Cint’s marketplace moat.

What makes Cint unique

  • Cint’s 2026 take-private preserves its 130-country respondent network and Lucid Measurement platform.
  • Potloc’s September 2026 MCP pilot embeds Cint directly into AI-native research workflows.
  • Samba partnership gives Cint deterministic TV exposure plus survey outcomes in one system.

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Benefits

  • Flexible Work Hours
  • Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
Yahoo Finance
Sep 29th, 2026
Cint launches self-service brand and sales lift measurement in minutes

Cint has launched self-service outcomes measurement within its Lucid Measurement Study Creator, enabling advertising partners to combine brand and sales lift studies. Magnite is the first platform to offer access to the new capability. The tool allows media owners, ad tech platforms and agencies to launch combined studies in minutes, reducing operational friction in campaign measurement. Previously, advertisers measured brand lift and sales lift through separate providers and datasets. New features include linear TV measurement in beta testing, industry-specific sales lift benchmarks across retail, telecom, technology and QSR sectors, and customisable post-campaign purchase attribution windows. The expansion builds on Cint's introduction of in-flight outcomes measurement earlier this year. The company operates a global network connecting researchers and advertisers to consumer data across over 130 countries.

Koji
Sep 20th, 2026
Koji adds panel recruitment from the Cint Exchange, with a published price per interview.

Koji adds panel recruitment from the Cint Exchange, with a published price per interview. AI-moderated voice and text interviews with a targeted audience in 130+ countries, from a €29 plan, billed only for interviews that pass a quality check. Company · September 20, 2026 · 3 AMSTERDAM, September 22, 2026 - Koji, the AI-native customer research platform, today announced panel recruitment inside its studies through an integration with the Cint Exchange, the world's largest research marketplace. Koji customers can now describe an audience in plain language, see a price per completed interview, and hold AI-moderated voice or text conversations with that audience the same day. Until now, Koji customers brought their own participants by link, embed, phone or CSV upload. That works for teams that already have an audience. Many have a clear question and nobody to send it to. The new channel supplies the audience. Koji turns a description such as "parents of teenagers in Germany who bought a car this year" into Cint's profiling catalogue, quotes the cost in credits before launch, screens each respondent on the study's own questions, interviews them in their language, and returns them to their panel. Koji bills only for completed interviews that meet a quality bar. A conversation that ends in under a minute or with fewer than three answers is reported as a quality terminate and costs the customer nothing. Prices are shown in Koji credits at one euro each on the public pricing page, with no minimum commitment. Themes are synthesised as interviews land, so a forty-interview study reads as a report while it is still in field. "The research industry prices access to people behind a demo call and a five-figure quote. We think a founder on a €29 plan should be able to talk to twenty people in Brazil tonight and know exactly what it cost. Cint gives us the people. We took care of the rest," said Nirmay Panchal, Managing Director of Koji. "With the rapid rise of AI-moderated research platforms, it's fantastic to partner with an innovative, upcoming player like Koji right at the start of their journey. Integrating the Cint Exchange directly into Koji's platform combines their intelligent pre-flight quality checks with our programmatic reach, enabling researchers and brands to execute global AI-moderated studies with complete transparency and speed. We're excited to support Koji's growth as they power continuous, data-driven insights worldwide," said Conor Climpson, Enterprise Sales Manager EMEA, Cint. Koji runs interviews in 28 languages by voice, text and phone. Cint Exchange recruitment is available today on every paid Koji plan. About koji. Koji is an AI-native customer research platform that runs voice and text interviews with real customers, codes every conversation as it comes in, and writes the report itself: the themes, the evidence behind each one, and clear next steps, ready before the study closes. Founded in 2026 and built in Amsterdam, Koji is used by more than 750 teams and is operated by Koji Labs B.V. Learn more at koji.so. About cint. Cint is the technology foundation for continuous research and measurement. With a global footprint and programmatic access to hundreds of millions of consumers across 130+ countries, Cint connects researchers, advertisers, and brands to reliable data from the world's largest network of high-quality sources. Learn more at cint.com. Media contact. Run your first AI-moderated study in 10 minutes. 10 free credits on signup. No credit card required. GDPR compliant EU or US data residency No AI training on your data

Associated Press
Sep 1st, 2026
Cint and Potloc partner on AI-native research tool using Model Context Protocol

Cint, a research and measurement technology company, is working with Potloc to develop a Model Context Protocol (MCP) that connects AI agents directly with Cint's platform. The MCP allows users to execute research and measurement workflows through natural language prompts, enabling them to define audiences, evaluate feasibility, launch studies and monitor projects without deep technical expertise. Potloc is already using the MCP in its sampling workflow. Last week, an automated run configured a 20-market consumer banking study on the Cint Exchange in one pass — work that previously required manual configuration for each market. Mathieu Dussart, director of sampling strategy at Potloc, said fieldwork managers can now draft, price and validate target groups conversationally in a fraction of the time. Built on the open Model Context Protocol standard, the tool complements Cint's existing API and platform interfaces. Cint is inviting additional AI-forward companies to become beta partners.

GlobeNewswire
Sep 1st, 2026
New MCP collaboration between Cint and Potloc unlocks advances in AI-native Research and Measurement intelligence.

New MCP collaboration between Cint and Potloc unlocks advances in AI-native Research and Measurement intelligence. Collaboration will help shape Cint's Model Context Protocol (MCP) capabilities, designed to connect AI agents directly with research and media intelligence workflows. September 01, 2026 15:05 ET | Source: Cint NEW YORK, Sept. 01, 2026 (GLOBE NEWSWIRE) - Cint, a global leader in research and measurement technology, today announced it is working with Potloc to help develop and test a Cint Model Context Protocol (MCP), an AI-native capability designed to connect AI agents directly with Cint's research and measurement platform. The collaboration comes as Cint works with customers to shape how agentic AI can accelerate day-to-day research and media intelligence workflows. The MCP brings the power of Cint into the context of daily work, allowing customers to orchestrate and automate their workflows without deep technical expertise. Benefits include the ability to integrate Cint with multiple systems that users interact with, and create skills and personalized outputs that suit specific personalized needs. Built on the open Model Context Protocol standard, the Cint MCP will allow users to carry out their research and measurement workflows using natural language prompts via the LLMs of their choice, with the AI agent translating that intent into action. "AI is quickly changing how businesses access information, make decisions, and execute workflows, and we believe research and measurement need to be available within those environments," said Lindsay Fordham, SVP Product at Cint. "By working directly with customers such as Potloc as we develop the Cint MCP, we can build around real-world needs and create a more intuitive way for AI systems to access verified human and media intelligence." For research teams, the Cint MCP is being developed to support workflows across the research lifecycle, including defining audiences through plain-language prompts, evaluating feasibility across markets, receiving pricing guidance, creating and launching studies, monitoring fieldwork and optimizing projects in real time. On the measurement side, Cint is exploring how MCP-enabled workflows can make it easier for customers to activate measurement studies, monitor in-flight performance and generate tailored insights at scale. The collaboration with Potloc will provide Cint with direct customer feedback as it continues to develop and refine these capabilities. Potloc is already using the MCP server in its day-to-day sampling workflow. Last week, a single automated run set up a 20-market consumer banking study on the Cint Exchange - 20 target groups, each with its own locale, feasibility check and bid - in one pass, work that previously meant configuring each market by hand in the console. "We've embedded the Cint MCP directly into our sampling workflows: our fieldwork managers draft, price and validate target groups conversationally, in a fraction of the time," said Mathieu Dussart, Director of Sampling Strategy at Potloc. "Working with Cint at this stage means the tool is being shaped around how research teams actually operate." Building an MCP reflects a broader shift in how Cint sees customers interacting with its technology. As AI increasingly becomes the interface through which organizations access information and execute work, Cint is building toward a future in which its research and measurement capabilities can be accessed directly within the AI tools and agentic systems customers already use. The Cint MCP complements the company's existing API and platform interfaces rather than replacing them, providing customers with another way to interact with the same underlying technology. With Potloc as an early design partner, Cint is now inviting additional AI-forward companies to be beta partners, using their feedback to guide continued development of the MCP experience. About Cint Cint is the technology foundation for continuous research and measurement. With a global footprint and programmatic access to hundreds of millions of consumers across 130+ countries, Cint connects researchers, advertisers, and brands to reliable data from the world's largest network of high-quality sources. Researchers can collect human and advanced data at speed. Advertisers and their partners can measure campaign effectiveness at scale. Brands can move from insight to action with clarity. By operating the connective layer between asking questions and measuring advertising outcomes, Cint enables organizations to move faster and make confident business decisions. At Cint, we're feeding the world's curiosity. About Potloc The world's consulting and private equity powerhouses turn survey questions into strategic revelations with Potloc. Our all-in survey platform is designed to be the fastest, most reliable asset for understanding market shifts. With unrivaled sample quality, AI-powered analysis, and end-to-end research oversight, it all adds up to a competitive advantage. Since 2013, we've helped 500+ global firms collect dynamic insights from 343M+ B2B and B2C responses across industries and geographies. Learn how Potloc supports high-speed, high-stakes missions, including corporate strategy, due diligence, pre-due diligence, portfolio monitoring, and thought leadership at potloc.com.

MR Web
Sep 1st, 2026
Daily research news online.

Daily research news online. The global MR industry's daily paper since 2000. Follow DRNO on... Cint partners with Potloc to develop MCP. September 1 2026 Cint is teaming up with Potloc, a survey platform for consulting and private equity firms, to develop and test an MCP capability, connecting clients' AI agents directly with Cint's research and measurement platform. Potloc's end-to-end survey platform is designed to be 'the fastest, most reliable asset for understanding market shifts,' and is used to support corporate strategy, due diligence, pre-due diligence, portfolio monitoring and thought leadership by its global finance and consulting clients. The new offering will use the Model Context Protocol standard to integrate Cint's technology and marketplace into natural language existing conversations with their chosen LLMs. Users will be able to define audiences through plain-language prompts, evaluate feasibility across markets, receive pricing guidance, create and launching studies, monitor fieldwork and optimize projects in real time. Cint says it is also 'exploring' how customers can activate measurement studies, monitor in-flight performance and generate tailored insights at scale, and the collaboration with Potloc will provide it with direct customer feedback during the development. Potloc is already using the MCP server in its day-to-day sampling workflow and says that last week it set up a 20-market consumer banking study on the Cint Exchange - 20 target groups, each with its own locale, feasibility check and bid - in a single automated run. 'AI is quickly changing how businesses access information, make decisions, and execute workflows, says Lindsay Fordham (pictured), SVP Product at Cint, 'and we believe research and measurement need to be available within those environments. By working directly with customers such as Potloc as we develop the Cint MCP, we can build around real-world needs and create a more intuitive way for AI systems to access verified human and media intelligence.' Mathieu Dussart, Director of Sampling Strategy at Potloc adds: 'Working with Cint at this stage means the tool is being shaped around how research teams actually operate.' Cint, which says it is now inviting additional 'AI-forward' companies to be beta partners, notes that the MCP complements its existing API and platform interfaces rather than replacing them, providing customers with another way to interact with the same underlying technology. Web sites: www.cint.com and www.potloc.com. All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated. Most viewed items in the last week... Each (*) indicates > 1,000 views. Select a region below...