cover image
Google

Sales Specialist Manager, Go-To-Market, Databases, Google Cloud

On site

Paris, France

Full Time

03-04-2025

Job Specifications

For Paris:

Google welcomes people with disabilities.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Paris, France.Minimum qualifications:

Bachelor's degree or equivalent practical experience.
12 years of experience in a sales role in the enterprise software or cloud space.
Experience selling Databases or data management technologies to clients.
Leadership experience within a Quota-Carrying team, such as people management, team lead, mentorship or coaching.

Preferred qualifications:

Experience planning and organizing Go-to-Market strategies, business programs, and business activity within our team and territory.
Experience leveraging knowledge of relevant products, solutions, and market trends, with the problem-solving abilities to analyze business performance data or market changes, to drive strategic direction.
Experience influencing cross-functional teams to impact business goals, customer experience, and expansion.
Experience with people and business management, supporting career development of a high performing sales team and business growth.
Excellent problem solving, communication, presentation, active listening, and program management skills.

About the jobAs a Go-to-Market Database Sales Specialist Manager, you will lead a team responsible for growing our Database business by building and expanding relationships with new and existing customers. You will effectively build relationships with internal stakeholders (e.g., Field Sales, Customer Engineering, Solution Architecture, Product) and customers, supporting the team to do the same. You will ensure your team has the necessary selling skills to demonstrate product functionality and comprehensive overviews of key business use cases, and close business. You will support a positive, high-performing, and team culture, while leading with empathy and identifying innovative ways to multiply the impact of the team as a whole to drive overall value for Google Cloud.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Create a positive and high-performing team culture, supporting our team to drive pipelines, manage business cycles from lead generation to customer onboarding, and meet and exceed business goals.
Develop and own the Go-to-Market plan to scale and impact our business in key areas, including Business, Net New Customer Growth, Customer Expansion and Customer Reference ability.
Partner with Field Sales, Marketing, Customer Engineering, Customer Success, Channels, Product, and Engineering to understand customers’ impact messaging and collateral, and provide excellent prospect and customer experience.
Expand relationships to influence long-term direction and be a trusted advisor to our team and their accounts. Inspire executives at prospective customers to partner with Google.
Represent our business in forecasts, town halls and meetings. Report forecasts and business performance in Salesforce and other tools.


Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

About the Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh Know more

Related Jobs

Company background Company brand
Company Name
BALENCIAGA
Job Title
BALENCIAGA – EMEA Client Engagement Data Analyst Intern (F/H)
Job Description
Summary BALENCIAGA – EMEA Client Engagement Data Analyst Intern (F/H) About usCristóbal Balenciaga founded the House in 1917 in his home of Spain. In 1937, he established the brand in Paris, designing its collections there until 1968. Cristóbal Balenciaga had a reputation as a couturier of uncompromising standards and was referred to as "the master of us all" by Christian Dior and as “The Couturier of the Couturiers” by Gabrielle Chanel. The ultra-modern shapes were trademarks of the house. While the brand’s identity is firmly rooted in its highly conceptual prêt-à-porter collections, its leather goods, footwear, and accessories experience worldwide success as well. Among the archetypal products of the House are its handbag collections. A new focus on the development of Balenciaga ready-to-wear collections for men was quickly established as highly successful. Since October 2015, Demna has designed both men’s and women’s collections as the artistic director. The Balenciaga House, part of the Kering group since 2001, is one of the most influential names in fashion. Job Description BALENCIAGA – EMEA Client Engagement Data Analyst Intern (F/H) About us Cristóbal Balenciaga founded the House in 1917 in his home of Spain. In 1937, he established the brand in Paris, designing its collections there until 1968. Cristóbal Balenciaga had a reputation as a couturier of uncompromising standards and was referred to as "the master of us all" by Christian Dior and as “The Couturier of the Couturiers” by Gabrielle Chanel. The ultra-modern shapes were trademarks of the house. While the brand’s identity is firmly rooted in its highly conceptual prêt-à-porter collections, its leather goods, footwear, and accessories experience worldwide success as well. Among the archetypal products of the House are its handbag collections. A new focus on the development of Balenciaga ready-to-wear collections for men was quickly established as highly successful. Since October 2015, Demna has designed both men’s and women’s collections as the artistic director. The Balenciaga House, part of the Kering group since 2001, is one of the most influential names in fashion. How you will contribute Undertake market analysis to identify key trends, challenges, and opportunities Monthly production and review of KPIs analysis and dashboards Oversee database quality (data deduplication, profiles merging, single client view) Leverage data and tools to analyse the client’s purchasing behaviour Support in the coordination of multiple internal stakeholders, ensuring timely delivery of deliverables and objectives Assist in a range of market research and ad-hoc projects including competitor monitoring and forecasting with specifics insights Who you are At least one previous experience in Data Analysis. Master’s degree specialized in Finance/Mathematics/Information technology. Business oriented, confident in managing databases/figures, and conducting data analysis. Passionate about data and proficient in using business intelligence tools. Successful track record of managing multiple projects with different priorities. Strong planning and organization skills. Ability to transform data queries into comprehensive reports. Excellent analytical, communication, and presentation skills. Licenses or Certifications Proficiency in MS Excel, PowerPoint, and SQL. Why work with us? Balenciaga is committed to thriving your professional development within the House or in the Kering group. We empower leaders to create, build and sustain high performing teams that excel in execution. We guide every employee to reach their full potential in a stimulating and fulfilling workplace environment. Diversity commitment Balenciaga is committed to fostering a diverse workforce. We believe that diversity in all its forms - gender, age, nationality, culture, disability, sexual orientation… - enriches the workplace and our client experience. As an Equal Opportunity Employer, we welcome all applications and select our talents based on competencies and in alignment with our brand behaviours. Setting people for success is what we live for. It is part of our interview process to discuss with you how to excel in our company. Job Type Student (Fixed Term) (Trainee) Start Date 2025-01-06 Schedule Full time Organization BALENCIAGA S.A.S.
Paris, France
On site
Full Time
10-04-2025
Company background Company brand
Company Name
SOFIP
Job Title
Data Analyst
Job Description
Vous êtes passionné(e) par la Data et souhaitez participer à une transformation concrète de l’usage de la donnée dans une entreprise en pleine évolution ? Rejoignez l’équipe SOFIP ! SOFIP est un acteur majeur de l’externalisation de force de vente pharmaceutique. Depuis 40 ans, nous accompagnons les plus grands laboratoires dans leur développement commercial en officine, parapharmacie et visite médicale. Grâce à notre expertise et à notre engagement, nous aidons nos clients à optimiser leur présence sur le terrain et à maximiser leur impact commercial. Dans un monde où la donnée devient un levier de performance clé, SOFIP structure son approche data pour accompagner sa transformation digitale. Notre objectif : construire une stack moderne et durable (datalake, outils de visualisation, automatisation) pour permettre aux équipes métier et partenaires de piloter efficacement leurs actions grâce à des données fiables, accessibles et lisibles. Vous rejoindrez une entreprise où l’IA est déjà utilisée au quotidien et où il reste encore beaucoup à construire : l’environnement est stimulant, les projets sont concrets, et l’impact est réel. La clé de notre succès ? Un engagement quotidien au service des marques que nous représentons. Notre plus grande force ? Nos équipes ! Nous investissons continuellement dans la formation et le développement de nos talents pour leur permettre de progresser et de contribuer activement à la réussite de SOFIP. Pour accompagner cette dynamique et renforcer notre expertise data, nous recherchons un(e) : Data Analyst h/f Vos missions Rattaché(e) au Lead Data, vous jouerez un rôle clé dans la structuration de notre chaîne de valeur data. Vous accompagnerez les équipes internes dans l’analyse, la visualisation et la valorisation des données issues du terrain. Vos principales responsabilités : 1. Collecte & préparation des données Collecter les données issues de différentes sources (internes comme externes). Nettoyer, structurer et fiabiliser les données pour les rendre exploitables. Contribuer à la mise en place et à l’évolution de notre modèle de données et des flux (ETL) dans le datalake. 2. Analyse & qualité Identifier les tendances, corrélations, anomalies, axes de performance. Élaborer et suivre les KPI métier pour mesurer l’efficacité des actions. Contribuer à l’amélioration continue de la qualité des données utilisées. 3. Restitution & visualisation Concevoir des dashboards dynamiques pour les équipes internes et les clients. Utiliser des outils comme Power BI pour rendre les données accessibles et actionnables. Maintenir les reportings à jour et pertinents, en fonction des évolutions du business. 4. Collaboration & accompagnement métier Travailler en lien étroit avec les équipes commerciales, marketing et direction. Comprendre les besoins, proposer des analyses adaptées, accompagner à la lecture des résultats. Participer à la construction d’une culture data partagée dans l’entreprise. Profil recherché Bac+5 (école d’ingénieurs, université) avec spécialisation en Data / BI / Statistiques / Informatique. 2 à 3 ans d’expérience minimum en tant que Data Analyst, idéalement dans un environnement multi-source / terrain. Maîtrise des outils de gestion et d’analyse de données : SQL, Python (ou R), Power BI, etc. Connaissance des processus ETL, des bonnes pratiques de structuration des données. Capacité à modéliser des KPIs pertinents et à raconter une histoire avec les données. Autonomie, rigueur, capacité de synthèse, bon relationnel et esprit d’initiative. Organisé(e), autonome, avec un excellent sens de la gestion du temps. Capable de communiquer clairement et de manière fluide vos analyses et recommandations à des interlocuteurs non techniques. Une sensibilité aux sujets IA, machine learning ou prédiction est un vrai plus. Ce que nous offrons En intégrant SOFIP, vous rejoignez une entreprise solide et performante, engagée dans la réussite individuelle et collective de chaque collaborateur/trice, avec : • Un système de rémunération attractif • Un management de proximité, alliant autonomie et accompagnement : vous ne serez jamais seul(e) ! • Des avantages divers : RTT, Carte Bimpli, CSE, mutuelle avantageuse, participation, travail au forfait jour, ordinateur fourni, et bien plus encore… Poste en CDI, à pourvoir dès que possible basé à Neuilly sur Seine. Intéressé(e)s ? Rencontrons-nous ! Un entretien de découverte avec le service Talent Acquisition Un questionnaire de personnalité à réaliser chez vous Un entretien final avec le Directeur Commercial Si tout cela résonne en vous, alors rejoignez-nous pour vivre cette expérience dans laquelle les mots engagement, esprit d’équipe, exigence et adaptabilité ne sont pas que des concepts ! On a hâte de vous rencontrer !
Neuilly-Sur-Seine, France
Hybrid
Full Time
11-04-2025
Company background Company brand
Company Name
Syntetica
Job Title
R&D Data Lead
Job Description
Who are we? Syntetica is an early-stage chemical startup on a mission to decarbonize the textile industry through textile-to-textile recycling — starting with nylon. Today, most synthetic textiles are made from crude oil, and less than 1% are recycled back into new fibers. We're here to change that. At Syntetica, we’ve developed a patented depolymerization process that breaks down nylon-rich textile waste into virgin-equivalent nylon monomers — while separating materials like elastane, polyester, and cotton for further recycling. Backed by Entrepreneur First, we’ve raised €4.2M from leading investors including EQT Ventures, the family offices of Peugeot and Etam, as well as high-profile athletes like Paul-Henri Mathieu and Jean-Éric Vergne. We’ve already forged key partnerships with major textile players like Victoria’s Secret and ETAM — as well as leading fast fashion and sportswear brands — and have assembled a core team of 12 experts. If you want to help bring truly circular materials to global scale — and solve one of the textile industry’s biggest sustainability challenges — come build with us. Your role at Syntetica As the R&D Data Lead, you will design and implement our data strategy related to our R&D product & process development — from lab-level measurement protocols to driving correlation and prediction insights. You will be the go-to person for how we capture, structure, and leverage data in the lab to support both process development and product development objectives, and play a critical role in accelerating R&D through data-informed decision-making. Key Responsibilities Data Collection & Measurement Design and implement data collection protocols across lab experiments Ensure the right instrumentation and measurement tools (e.g., XRF, HPLC, GPC) are in place to capture the right data at the right moment Collaborate with technical and production teams to define critical experimental variables and outputs Lead characterization efforts with external labs and select technical partners for advanced analysis Data Organisation & Infrastructure Build and maintain data tracking systems using Google Sheets, Notion, Airtable or equivalent tools Create structured data templates per protocol and experiment type Organise, clean, and standardise datasets for cross-experiment comparison and reproducibility Develop protocols for data hygiene and quality control Data Analysis & Insight Generation Drive exploratory data analysis, trend identification, and correlation mapping on tools such as JMP, Minitab and/or directly with Python Support experimental planning by identifying predictive patterns and variables Build tools or frameworks to assist chemists and engineers in hypothesis generation and validation Data Leadership Champion a data-first culture within the R&D team Provide internal training and documentation on data best practices and guide the long-term evolution of our lab and scale-up data architecture What we're looking for Background Master’s degree or plus in Engineering, Chemistry, Materials Science, or a related field from a top-tier university 3-5 years of experience in data-related roles within technical scientific environments (e.g. Product Performance, Data & Characterisation, Quality Control) in startups or fast-paced environments. Skills: Data-driven & Analytical mindset: Data obsessed, including around collecting, analysing and connecting data with product performance Highly skilled in tools such as JMP, Minitab or in using Python and/or other relevant tools/languages Excellent & fluent communication skills in English & French A strong bias for action with high autonomy and the ability to drive others around you. Highly structured and process-driven Why join Syntetica? Mission-driven company: Play a pivotal role in decarbonising one of the most polluting industries globally. World-class team: Collaborate with a group of 10 passionate and brilliant experts growing to 25 by the end of the year Cutting-edge technology: Syntetica is revolutionising nylon recycling with a unique chemical depolymerisation process, enabling the recycling of mixed textiles in a €35 billion global market. Hypergrowth startup: Following our €4.2M funding round, we plan to more than double our team within a year, including tripling our technical team. Recruitment Process Screening call with People Lead – 15 minutes. "Who" interview with Marco, CEO – 45 mins Business Case with Albert & Florian, COO - 1 hour Culture fit interview with Louis, Co-Founder & CTO– 45 mins Reference calls
Paris, France
On site
Full Time
10-04-2025
Company background Company brand
Company Name
ALPHA10X
Job Title
VP, Data Engineering
Job Description
About This Role ALPHA10X is the AI leader in private markets investments. Our Nostradamus platform analyzes data at scale to shape the knowledge and foresight that generate alpha and impact. The company is a well-funded growth stage startup and aspiring unicorn, rapidly expanding our revenue, customer base, and market presence, while scaling operations, enhancing products, and securing additional funding to further accelerate development. Our team includes prominent business leaders, investors, scholars, and data scientists. ALPHA10X is looking for a skilled VP, Data Engineering. Reporting to the CTO, responsibilities include leading and scaling the data engineering team to deliver a robust, reliable, and scalable data platform. You will drive excellence in infrastructure, CI/CD, observability, and data quality to support AI/ML, semantic search, and enterprise-grade delivery. Key Responsibilities Collaboration: Work cross-functionally with Software, AI, Product, and Data teams. Translate business needs into scalable technical solutions. Architecture & Delivery: Own and evolve the data platform (Azure, Databricks, Spark, Neo4j, Elasticsearch). Drive best practices in data ingestion, transformation, and access layers. CI/CD & Testing: Establish robust pipelines, test suites, and reproducibility for all data processes. Platform Reliability: Implement observability, data monitoring, alerting, and error handling. Team Building: Grow and mentor a team of 2+ data engineers. Set the technical bar and foster a strong engineering culture. What We Value Initiative and curiosity. Low ego because the outcome matters more than who gets the credit. Adaptive and introspective; willing to learn, guide, lead, and follow. Unrelenting drive to push the boundaries of AI and data science. What We Are Looking For Hard Skills 8+ years in data engineering, including hands-on Spark and ElasticSearch. Proficient in Python and SQL. Strong experience with CI/CD, testing frameworks (e.g., DBT tests, Pytest, Great Expectations). Familiarity with Neo4j, Databricks, and cloud platforms (Azure a strong plus). Familiarity with real-time pipelines or streaming (e.g., Kafka). Exposure to ML pipelines or AI/LLM infrastructure. Soft skills Proven experience leading small technical teams and mentoring engineers. Strong communication and problem-solving skills. Experience in startups or fast-paced environments. Why Join Us? Innovation: Play a key role in advancing the capabilities of AI in fintech, working with some of the brightest minds in the industry. Leadership: As part of the future shaping team, you will have a direct impact on the company's growth and strategic direction. Growth Opportunities: Join a fast-paced, high-growth startup with significant equity participation and potential for personal and professional advancement. Global Impact: Be part of a team that connects people, capital, and ideas to solve some of the world’s greatest challenges through AI-driven financial solutions. To apply, please email: hr@alpha10x.com
Aix-En-Provence, France
On site
Full Time
11-04-2025