B2b Sales Representative in London

Here's a summary of the role Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground up. We're rebuilding the internal product our teams use to measure product success and end-user value across all our 24+ products in four business units. You'll design the single source of truth: the metric definitions, the telemetry standards, the data contract engineering instruments against, the change governance processes and tooling, and the models that turn behaviour into portfolio insight. You'll educate and support the teams using this internal behavioural data product to set expectations and and plot a rational roadmap for the maturing of this product, helping our user to use the data honestly and wisely. Usage tells you what happened, not why, or whether it mattered. We want someone who sets quantitative behaviour against qualitative evidence and treats the disagreement as the interesting part. AWS/Snowflake is our spine; capture and BI are open decisions you'll help make. Your models feed the business reviews our executive team, CTO and investors use to run the portfolio, and engineering is committed to instrument against your contract. Here's what your first twelve months should look like First 90 days. Learn the estate, meet the engineers who instrument it, and agree the measurement model for one product end to end — with a defensible adoption number and the qualitative read on what it means. Three to six months. Data contract published, instrumentation spec landed with engineering, first business unit building against it. Definitions, naming and versioned change control governed. Six to twelve months. Rolling out across the remaining business units through the BU-aligned analysts, portfolio reporting running on your numbers. Here's a breakdown of what you'll do (not all

We’re looking for an Account Intelligence & Outbound Specialist to help us create meaningful outbound engagement and pipeline opportunities across priority global strategic accounts. You’ll use Talkwalker insights, market signals, account research and hands-on outbound to build commercially relevant, account specific-outbound that creates movement in the accounts that matter most by identifying the right people, moments and messages to activate complex enterprise accounts working alongside two Global Strategic Account Managers. You will be reporting to the Director, Outbound Strategy. Please note that the role may include 10% of travel to events; other Hootsuite offices, etc. WHAT YOU’LL DO: Conduct deep research across priority global strategic accounts to understand their business context, market environment, brand activity, audience sentiment, competitive landscape and relevant commercial signals. Leverage Talkwalker insights, social listening, news, campaign activity, reputation signals and account history to identify timely and relevant reasons to engage prospective customers. Identify and map complex buying groups, decision-makers, influencers and stakeholders across global strategic accounts, including marketing, communications, social media, insights, customer care, digital, analytics, procurement, legal, security, Data Privacy, regional teams and executive leadership. Design and execute insight-led, account-specific outbound strategies across email, phone, LinkedIn and other relevant channels, using commercial relevance rather than generic product messaging. Develop high-value account intelligence assets including signal summaries, one-page account memos, Talkwalker insight snapshots, competitor views, pre-mortems, executive questions and buying-group maps to support strategic account activation. Act as a strategic partner to Global Strategic & Principal Account Executives by jointly prioritizing accounts, align on account strategy, and deter

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Machine Learning Engineer on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! As a Machine Learning Engineer (Applied ML), you will: Plan and execute large-group projects that carry through from ideation to production. Bring cross-functional alignment across engineering, product and other disciplines. Mentor a distributed team of engineers in subject matter expertise. Identify opportunities and gaps in existing models and strategize what to work on. Work closely with product teams to develop solutions. Engage in collaborations with our partner organizations. Assist our legal teams with preparation of patents on developed IP. Join us at a pivotal moment, shape what we build and wear multiple hats! You may be a good fit if y