About Hightouch

Hightouch’s mission is to empower everyone to take action on their data.  We’ve pioneered the Composable Customer Data Platform (CDP), which helps companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and busisness operations. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations.

Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

Hundreds of companies use Hightouch, including Spotify, Ramp, Grammarly, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

About The Role

Hightouch is looking for an Enterprise Account Executive (EAE) to join our rapidly growing team. We’re a small team and looking for someone with at least 4 years of Sales experience. We are looking for a self-starter with a passion for technology and people.

The right candidate is someone who has a proven track record of success who is looking to further their career with a fast growing startup. The ideal person will be both coachable, have a strong work ethic and entrepreneurial spirit. 

What We're Looking For

• 4+ years experience in complex enterprise SaaS sales
• Experience building pipeline through outbound and land and expand in the DACH region
• Must have fluent German language skills
• Must be based outside of Germany, in EMEA. 
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition and humility.
• Excellent verbal and written communication skills.
• Ability to adapt to an ever-changing work environment
• Be a self-starter

Bonus if you have 

• Background in Martech and/or Data 

SLSQ427R287

Databricks operates at the cutting edge of Unified Data Analytics and AI. Our customers turn to us to lead the accelerated innovation that their businesses need to gain a first-mover advantage in today's ultra-competitive landscape.

As we continue our rapid expansion across Central Europe, we are looking for a creative, execution oriented Geo Core Account Executive to join our team in Zurich, Switzerland. Reporting to our Director of Enterprise Sales, you’ll be responsible for the continued growth of a small portfolio of enterprise accounts across a range of verticals - including Industrial & Manufacturing and CPG. You will be responsible for  developing and expanding established commercial relationships and closing new business opportunities within a small, targeted portfolio of existing, enterprise-class clients. You will come with an informed point of view on Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to these important clients.

The impact you will have:

• Assess your key accounts and develop a strategy to meet and exceed revenue and consumption goals
• Implement the above strategy to meet and exceed revenue and consumption targets
• Build positive relationships with key decision makers (up to and including C-level) and establish yourself as a trusted advisor for Data & AI-related subjects
• Identify new business opportunities and develop the expand / consumption use cases within your key accounts
• Orchestrate and utilise internal teams to maximise the impact on your ecosystem
• Showcase exceptional value with all engagements to guide successful negotiations to close point

What we look for:

• Successful track record of meeting and exceeding sales quotas and KPIs
• Experience selling to large enterprise-class customers in Switzerland
• Proven experience selling complex software deals
• Understanding of consumption-based land and expanding sales models
• Evidence of creating demand that delivered substantial business value
• Experience of following robust sales methodologies and processes, e.g. account planning, MEDDPICC, Value Selling, Command of the Message and accurate forecasting
• Experience of building effective champions and collaborative teams to support the execution of your territory plan
• Experience of developing a clear partner strategy and managing it to success
• Understanding of how to identify important use cases and buying centres in order to increase the impact of Databricks within an organisation
• Fluent English and German language skills are ssential

#LI-HS4

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.

• Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.

• Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).

• DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).

• Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.

• Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.

Candidate Profile

Engineer first, consultant second — with a builder’s mindset and a track record of shipping.

• Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.

• The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.

• The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).

• AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).

• Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).

• Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.

• Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.

Nice to have

• Experience with responsible AI/governance frameworks, security reviews, and cost optimization.

• Domain experience in finance.

• Contributions to open-source, publications, or conference talks.

Why Join Us

• Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.

• Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.

• Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.

• Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.

Location: Zurich

If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.

• Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.

• Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).

• DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).

• Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.

• Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.

Candidate Profile

Engineer first, consultant second — with a builder’s mindset and a track record of shipping.

• Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.

• The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.

• The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).

• AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).

• Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).

• Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.

• Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.

Nice to have

• Experience with responsible AI/governance frameworks, security reviews, and cost optimization.

• Domain experience in finance.

• Contributions to open-source, publications, or conference talks.

Why Join Us

• Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.

• Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.

• Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.

• Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.

Location: Zurich

If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.

• Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.

• Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).

• DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).

• Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.

• Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.

Candidate Profile

Engineer first, consultant second — with a builder’s mindset and a track record of shipping.

• Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.

• The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.

• The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).

• AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).

• Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).

• Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.

• Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.

Nice to have

• Experience with responsible AI/governance frameworks, security reviews, and cost optimization.

• Domain experience in finance.

• Contributions to open-source, publications, or conference talks.

Why Join Us

• Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.

• Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.

• Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.

• Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.

Location: Zurich

If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

FEQ427R330

For our FSI customer in Zurich, we are seeking a Sr Solution Architect. At Databricks, our core principles are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about the Databricks vision and solution strategy.
• Be a 'champion’ for both customers and colleagues, operating as an expert solutions architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
• Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
  
  

What we look for:

• Know how to engage in complex customer interactions and the sales lifecycle in a technical pre-sales capacity.
• Ability to influence decision-makers and C-level executives by building relationships and orchestrating teams to achieve long-term customer success.
• Prior experience coding in a core programming language (e.g., Python, Java, Scala) and a willingness to learn basic Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platforms, and the ability to demonstrate the art of the possible using a modern coding platform.
• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
• Prior expertise in the regulated FSI vertical is an advantage.
• Fluent in English. Fluent in German is a plus.

RDQ127R176

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. 

The impact you will have:

• Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
•  

P-1127

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.