Tamtam

www.tamtam.ai

2 Jobs

34 Employees

About the Company

Tamtam is the AI Agents-powered sales intelligence tool built for modern revenue teams. Our mission: help Sales and Marketing professionals sharpen their targeting, prepare faster, and close more — by supporting them with AI Agents throughout the sales cycle. Tamtam combines best-in-class data and AI to drive more relevant prospecting and better sales conversations. From building your TAM (Total Adressable Market) to preparing meetings and tracking deal signals, our AI Agents automate the grunt work so your team can focus on value-based selling. What we do: Market Mapping → Find ideal target companies with Lookalike Search and custom filters → Prioritize accounts with real business signals Pipeline Generation → Identify persona within target accounts - at scale → Generate smart icebreakers & personalized emails Deal Execution → Get thorough account research summed up in a customized account planning for each of your target accounts → Prepare every meeting with summaries, org charts, account insights and value proposition suggestions Account Management → Track territory signals for upsells and renewals → Integrate seamlessly with your CRM, calendar & Slack Tamtam is trusted by strategic sales teams at companies like Spacefill, Freeda and LesBigBoss. Our customers report 80% more ICPs identified, +57% conversion, and +47% ACV growth. Recently backed by Varsity, Kima Ventures, and 20+ B2B revenue leaders, Tamtam raised €3M to accelerate its vision: empowering sellers — not replacing them — with actionable intelligence, at every step of the sales cycle. Let our AI Agents do your sales homework. Focus on closing deals. → Learn more at https://www.tamtam.ai/?utm_source=linkedin&utm_medium=companyPage

Listed Jobs

Company Name: Tamtam
Job Title: Founding Senior Account Executive (120k€ OTE)
Job Description: **Job Title** Founding Senior Account Executive **Role Summary** Drive TAMTAM’s commercial strategy as a key founder‑level sales leader. Own end‑to‑end SaaS B2B sales cycles, collaborate with CEO on growth initiatives, and build scalable sales processes to accelerate customer acquisition, retention, and expansion. **Expectations** - 3–7 years senior sales experience; proven track record of closing 5‑/6‑figure SaaS deals with C‑level stakeholders. - Entrepreneurial mindset, agile in startup/scale‑up environment. - Results‑driven, with strong focus on long‑term customer success and revenue growth. **Key Responsibilities** 1. Design and execute B2B commercial strategy for TAMTAM’s product portfolio. 2. Lead full sales cycle: prospect research, qualification, solution presentation, negotiation, and closing of high‑impact opportunities. 3. Use TAMTAM platform to identify, enrich, and activate target accounts at scale. 4. Partner with marketing, product, and ops teams to align market positioning, messaging, and go‑to‑market tactics. 5. Continuously refine offerings and processes through client feedback and market analysis. 6. Conduct competitive intelligence and adjust strategy accordingly. 7. Manage and grow existing accounts, driving upsell/cross‑sell. 8. Develop and implement scalable sales processes and performance metrics. 9. Provide regular KPI reporting and insight to executive leadership. **Required Skills** - Strategic account management and complex deal negotiation. - Strong B2B SaaS sales methodology; experience with long sales cycles and high‑ticket contracts. - Ability to build and maintain executive‑level client relationships. - Data‑driven mindset; proficient in leveraging CRM and sales enablement tools. - Excellent communication, presentation, and stakeholder management. - Self‑motivated, resists ambiguity, and thrives in fast‑moving environments. **Required Education & Certifications** - Bachelor’s degree in Business, Marketing, or related discipline (preferred). - Sales certifications (e.g., HubSpot, Salesforce, or similar) welcomed but not mandatory.

Company Name: Tamtam
Job Title: AI Solutions Engineer Intern - Mars 2026
Job Description: **Job title** AI Solutions Engineer Intern – March 2026 **Role Summary** Provide end‑to‑end AI and data engineering support for a fast‑growing early‑stage commercial intelligence platform. Work closely with clients, product, and engineering teams to translate business needs into scalable AI‑driven solutions. Own projects from discovery through deployment, ensuring technical excellence and high client impact. **Expectations** - Take full ownership of assigned projects, delivering tangible value to clients within defined timelines. - Demonstrate strong analytical, technical, and communication skills in a fast‑paced, collaborative environment. - Actively contribute to the company’s AI strategy and tech stack improvements. **Key Responsibilities** - Engage with clients to gather requirements, identify pain points, and propose tailored AI/data solutions. - Design, build, and deploy data pipelines, AI agents, and dashboards using modern tooling and best practices. - Optimize and extend the AI/data stack, experimenting with new configurations to boost performance and reliability. - Manage project lifecycle: technical design, implementation, testing, deployment, and post‑deployment monitoring. - Collaborate with product and engineering teams to surface technical needs and influence roadmap priorities. - Collect user feedback, analyze performance data, validate new features, and recommend iterative enhancements. - Stay abreast of industry developments, experimenting through hackathons, research, and knowledge sharing. **Required Skills** - Proficiency in Python, SQL, and data manipulation libraries (pandas, NumPy). - Experience with data pipelines (Airflow, Prefect, or equivalent) and version control (Git). - Familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) and model fine‑tuning. - Ability to create interactive dashboards (Power BI, Tableau, Plotly, or similar). - Strong problem‑solving, analytical, and communication abilities. - Comfortable with agile workflows and cross‑functional collaboration. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical discipline. - Relevant certifications in Python, data engineering, or AI are advantageous but not mandatory.