Role Description As a result of our incredible success and growth, we are looking for a Senior Product Manager to join us. - Own and drive the product strategy and roadmap for key consumer-facing products including the Student Beans website, BeansID.com, and browser extension experience, ensuring they continue to deliver value for both users and brand partners. - Lead the ongoing growth and optimisation of SEO as a critical acquisition channel, partnering closely with the SEO content team to scale performance, improve technical SEO foundations, and strengthen visibility across traditional and AI-driven search experiences. - Use a data-led, experimentation mindset to drive continuous discovery and product improvement, running hypothesis testing, A/B experiments, and customer research alongside delivery to inform product decisions and prioritisation. - Lead and support a cross-functional squad by translating business and stakeholder requirements into clear product priorities, owning the backlog, facilitating squad ceremonies, and ensuring teams remain focused on delivering high-impact outcomes efficiently. - Act as a key product leader and stakeholder partner across the business, confidently managing competing priorities, challenging scope where needed, and simplifying solutions to deliver customer value faster while representing a highly visible consumer-facing product experience. Qualifications - You’re an experienced Product Manager with strong product discipline, a structured approach to prioritisation, and a proven ability to balance customer, commercial, and technical needs. - You’re adaptable and comfortable operating in a fast-paced environment, able to shift between strategic thinking and hands-on delivery as business priorities evolve. - You have excellent stakeholder management skills and can confidently communicate with senior leaders, challenge constructively when needed, and build alignment across teams. - You’re highly data-driven and experienced in using experimentation, customer insight, and product discovery techniques to inform decisions and drive measurable impact. - You actively embrace AI in your day-to-day work and are excited by how emerging AI tools can improve product thinking, delivery, research, experimentation, and team effectiveness beyond basic administrative tasks. Benefits - Competitive salary. - 30 days annual leave, plus bank holidays. - Accredited 'Great Place To Work’ company in three categories. - Commitment to personal development and career growth, coaching workshops and progression plans. - Remote-first working environment with up to 180 days working from abroad (subject to approval). - Flexible working hours (start between 8-10am and finish between 4:30-6:30pm). - Focus on welfare, including a monthly wellness allowance, gym memberships, access to mental health first aiders, and a health cash plan. - Access to incredible partnership discounts for major brands like Google, Apple, GymShark, Domino's, and Uber. - £200 work from home set up allowance to enhance your at-home working space.

Role Description Mirantis is looking for a commercially driven, deeply technical Product Manager to own AI inference and model serving for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. This role sits at the intersection of AI inference, cloud-native infrastructure, distributed systems, and performance engineering. You will define how NeoClouds and Enterprise customers deploy, scale, and operate production inference services while extracting maximum performance from the underlying GPU, network, and storage infrastructure. This role owns product strategy and solution development for inference products across on-premises, cloud, and edge environments. The scope includes: - Serverless inference - Dedicated endpoints - Workload placement - Autoscaling - Routing - Lifecycle management - Observability - Full-stack performance optimization This person will define how customers run production model-serving workloads at scale while improving: - Latency - Throughput - Utilization - Reliability - Cost - Operational control The ideal candidate has experience with high-performance infrastructure products and understands how production systems behave under real-world load. They should be comfortable reasoning across the full stack, identifying performance bottlenecks, evaluating system design trade-offs, and translating technical insight into clear product requirements, architecture direction, and customer-facing solutions. Qualifications - 7+ years in product management, technical product management, or a senior technical role owning AI/ML and inference product(s) - Strong understanding of production AI inference, including model serving, serverless execution, dedicated endpoints, autoscaling, routing, workload placement, observability, and reliability - Proven capability to reason about performance trade-offs across GPU, network, storage, orchestration, and runtime layers, and to translate low-level technical capability into business value such as TTFT, throughput per GPU, and TCO - Working knowledge of modern inference runtimes (vLLM, SGLang, TensorRT-LLM, Dynamo, Triton) and the optimization patterns that matter in production: continuous batching, KV cache management, cold starts, prefill versus decode, disaggregated serving, and multi-model serving - Credibility with engineering leaders and infrastructure operators, including comfort in production architecture reviews and technical commercial conversations with platform engineering buyers Requirements - Own product strategy, roadmap, and lifecycle for inference and model serving, including serverless inference, dedicated endpoints, autoscaling, routing, KV cache management, and the related observability - Lead deep technical discovery with NeoClouds, sovereign clouds, and enterprise platform teams, and translate findings into prioritized requirements and architecture direction - Partner with engineering on system design trade-offs across runtime integration, GPU scheduling, network, storage, and serving topology, including disaggregated serving and multi-model serving - Define positioning grounded in measurable outcomes: latency distributions, throughput per GPU, utilization, tail reliability, and cost per tokens - Drive go-to-market execution: pricing and packaging, reference architectures, sizing guides, PoC playbooks, and direct engagement with customers, analysts, and ecosystem partners Benefits - Work with an established Silicon Valley leader in the cloud infrastructure industry. - Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies. - Be a part of cutting-edge, open-source innovation. - Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued. - Professional development and training. - Attend conferences and working groups. - Customized workstation (macOS, Windows). - A competitive compensation package with strong benefits plan and stock options.

Role Description We are seeking a Senior Manager / Associate Director with a strong Life Sciences background and hands-on commercial analytics experience to launch a Commercial Data Product to support an upcoming pharma launch. This role will lead a small, dedicated pod to design and build a Snowflake-native, Power BI–aligned data product from the ground up. The position gives an opportunity to focus on data product ownership, metric design, and stakeholder alignment. The candidate should have strong experience and domain knowledge in gene therapy, with exposure to relevant processes, workflows, and industry applications. - Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions. - Own the end-to-end commercial data product for a kidney launch, from vision to execution. - Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership. - Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics. - Own and prioritize the product backlog, ensuring alignment with launch milestones. - Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse. - Ensure strong Power BI semantic model understanding (measures, relationships, performance). - Enable self-service analytics through well-designed datasets—not dashboards alone. - Establish KPI governance, adoption tracking, and success metrics for the product. - Lead a small cross-functional pod (data engineers, analysts). - Operate in an agile delivery model with clear sprint outcomes and executive visibility. - Act as the primary interface between business stakeholders and the technical team. Qualifications - 12+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences. - Strong experience and domain knowledge in gene therapy, with exposure to relevant processes, workflows, and industry applications. - Strong experience with pharma launches, including segmentation, performance tracking, and KPI design. - Hands-on understanding of Snowflake (data modeling, performance considerations). - Strong Power BI semantic layer knowledge along with visualization. - Proven experience owning product backlogs and driving roadmap execution. - Ability to operate independently in greenfield/build-from-scratch environments. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Company Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Role Description Every Leadfeeder customer starts the same way: they sign up, they install the tracker on their website, and they wait to see who's visiting. Until the tracker is live, the product has no data. Until the user has seen real visitors turn into a real lead, the product has no value. Most of our growth lever lives in that window. Tracker installation rate is the single most important upstream metric for the entire product business. Per-product activation rate — the share of users who reach the value moment in each surface they touch — is the metric that compounds everything downstream: conversion, retention, expansion. Right now, neither of these is owned end-to-end. Marketing brings the traffic. Product Core builds the depth features (Lists, Workflows, scoring, enrichment). But the path from a fresh signup to an activated user across our products is uncovered. That's this role. What you'll be building - Signup → tracker installation flow: The first thing every customer does. Faster, more guided, instrumented end-to-end. We measure success in % of signups installed and time-to-installed. - Per-product activation paths: Reveal, Target, Lists, Workflows — each has a moment where a user "gets it." You'll define the aha-event for each surface, instrument the funnel to it, and ship the experiments that move the rate. - First-touch UX across the product: Empty states, onboarding tours, first-time-user prompts, in-product nudges. Wherever a user encounters a product surface for the first time, that experience is yours. - Product-led acquisition opportunities: Explore mechanics to improve Leadfeeder’s distribution and discoverability. Ship them when a hypothesis stands up. Qualifications - 5–7 years in product management, with at least 2 years on growth, activation, acquisition, or lifecycle surfaces. - A track record of moving a growth metric you owned. - Growth mindset: connect actions to outcomes, data-driven, respect for the scientific method. - Intelligence and curiosity: reason from first principles, ask second-order questions. - Strong written and stakeholder muscle: cross-team alignment, sharp written briefs. - AI in your daily workflow: use AI tools for prototyping, analysis, writing, decision-making. - Comfortable being uncomfortable: thrive in ambiguity, ship with 70% of the information. - High-agency and ownership: own problems end-to-end. Requirements - Experience in PLG (product-led growth) environments: self-serve onboarding, activation funnels, free-to-paid conversion. - B2B SaaS background, especially mid-market or SMB. - Experience shipping referral, viral, or word-of-mouth mechanics that actually moved a number. - Experience working with short delivery cycles (monthly or bi-weekly shipping cadences). - Familiarity with B2B intent/data platforms: Apollo, Cognism, ZoomInfo, 6sense, Clay, or similar. Benefits - Competitive compensation and benefits package. - A remote-first European culture that values autonomy, impact, and bias for action over process and politics. - The tools and freedom to build with AI, not just talk about it. - Direct collaboration with the CPTO and a passionate R&D team that ships fast, debates openly, and cares deeply about craft. - A company at a strategic inflection with brand unification and a new pricing model launching at the end of June 2026.