דרושים » דאטה » Solutions Architect, CTO Office

You're a hands-on operator who treats the marketing engine as a system to be perfected, not a set of tasks to be checked off. Our stack is already up and running; your job is to take it from good to great: sharpen what's working, fix what's leaking, and level it up as we scale. You live in HubSpot, you get a quiet thrill from a workflow that just works, and you see a leaky funnel or a broken attribution model as a puzzle waiting to be solved.

You're senior enough to own the marketing and partnerships tech stack end-to-end, but you're an IC at heart. You'd rather get your hands in the system and improve it yourself than hand it off. You think in full-funnel impact: how a paid click becomes a lead, how a lead becomes a deal, and how a partner-sourced opportunity gets routed, tracked, and credited correctly all the way through to revenue.

You embrace AI as a core part of how you work, actively experimenting with whatever's new, whether that's improving automations, wiring up tools, or supercharging your own output. You move fast, back your decisions with data, and bring structure and clarity to everything you touch.

So, what will you be doing all day?

This is a hands-on ownership role. You're taking systems that already exist and making them faster, cleaner, and more scalable.

Own and optimize our HubSpot Marketing Ops. Refine workflows, integrations, properties, lifecycle stages, lead scoring, campaign architecture, data hygiene, and reporting across the full journey from first touch through conversion.
Elevate marketing operations. Make sure campaigns, lead routing, attribution, and reporting are accurate, fast, and scalable, and keep improving them as we grow.
Sharpen tracking and attribution. Own and improve how we measure the funnel end-to-end, tighten the connection between paid channels (Facebook Ads, Google Ads and more) and HubSpot, and evolve our multi-touch attribution into a source of truth the whole team trusts.
Improve the automation and middleware. Maintain and upgrade the connective tissue between HubSpot, our databases, and ad platforms, and harden the automated pipelines that keep data flowing where it needs to go.
Oversee data quality. Own incoming data requests, audience segmentation, and performance deep-dives, and run regular hygiene audits so the marketing database stays accurate and measurable.
Own partnership operations. Improve the systems that track partner-sourced and partner-influenced pipeline, automate partner lead handoffs and routing, and give the partnerships team clean data to grow the channel.
Drive attribution and analytics. Analyze performance from acquisition through expansion and churn, surface where the funnel breaks and where the budget works, and make the numbers trustworthy enough to drive real decisions.
Bring AI into the engine. Find the manual, repetitive, and error-prone parts of GTM ops and automate them with AI and no-code/low-code tooling.
Partner cross-functionally. Collaborate closely with stakeholders across the company to improve efficiency and accelerate growth across the customer lifecycle.

Working in data is about finding what nobody else knew they lost. We want investigators, people who adapt, think flexibly, and know how to bring leadership onboard. From scientists to engineers to visualization experts, our data team is made for those who find the missing piece and act on it. So if curiosity is your default setting and making it useful your priority, the Fiverr Data team might be what you're looking for. Join our dynamic Data department as a Senior Data Engineer, where you'll play a pivotal role in launching a critical new data product. This is an opportunity to elevate our engineering rigor and deliver innovative solutions for the world's most popular freelance marketplace, tackling complex challenges with advanced data warehousing and full-stack development expertise.

What am I going to do?:

* Architect and design robust schemas for our new data product backend, ensuring scalability and performance.
* Drive full-stack feature development for production-ready features, contributing to both data pipelines and user-facing elements.
* Orchestrate and optimize data pipelines, guaranteeing reliable and timely data delivery.
* Provide technical leadership to enhance software engineering standards across the team, mentoring other developers.
* Integrate complex systems and manage schema design with a keen eye on cost optimization.
* Collaborate closely with cross-functional teams in daily stand-ups and development cycles.

Equal opportunities:
At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.

Were looking for a GTM growth Account Executive to drive revenue growth by finding builders in the market, speaking their language, and showing them what becomes possible at the center of their revenue motion. This role sits at the core of our growth strategy and focuses on winning new business by converting technical, modern GTM stacks into high-value commercial solutions.
You dont need to be a traditional salesperson to apply for this role. We are looking for a RevOps practitioner, Automation Expert, or GTM Engineer who wants to step out from behind the scenes, learn how to sell, and own full-cycle deals with mid-market and enterprise GTM teams.
Experience using GenAI to improve prospecting, deal strategy, stakeholder mapping, and pipeline execution is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office. This is a Monday-Friday role.
This might be for you if:
You enjoy hunting for new opportunities and closing complex, technical commercial deals
Youre comfortable running consultative discovery processes with senior stakeholders like CROs and Heads of RevOps
You like working in fast-growing, high-performance sales environments where you don't just pitch, you diagnose
Youre data-driven, structured, and disciplined in how you orchestrate advanced data pipelines
You care about ownership, results, and helping existing accounts build custom solutions using Webhooks and APIs
You actively leverage AI tools, LLMs, and workflows (n8n, Claude) to increase efficiency, personalization, and win rates

Required Software & Data Engineer
Tel Aviv
As a Software & Data Engineer, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how we understand and improve our service for cities and riders around the world.
About the Role:
Design and build highly scalable, reliable data pipelines that serve clean, structured data across our engineering, product, and business teams - ensuring the entire organisation can trust the data it works with
Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale
Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement
Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on
Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how we operate
Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena.

Were looking for a Data Engineer to join our company. This is a hands-on, cross-functional role focused on owning and improving our data quality, pipeline reliability, and modeling infrastructure. Youll be responsible for managing and optimizing our DBT models, ETL processes, and data connectors - and will work closely with product, operations, and engineering teams to ensure data is accurate, consistent, and accessible.

You should be someone who thrives on autonomy, takes pride in clean and scalable solutions, and enjoys helping others get the data they need.

In this role you will
Architect our entire DBT project and data warehouse structure completely from scratch-a rare, high-impact opportunity
Lead data modeling efforts: Translating business needs into scalable, reliable data models
Build and monitor data pipelines and connectors from various internal and external systems
Ensure high standards of data quality, consistency, and documentation
Collaborate with engineering, product, and operations teams to understand needs and build data solutions
Proactively detect data issues and work to resolve them
Help define and improve internal data best practices and standards
Support data governance efforts and advocate for trustworthy, well-modeled data
You will be one of the pioneers of a new team - passion & energy is required

Product Marketing is the connective layer between Product, Sales, and Customer Success-we own how Empathy goes to market. As we scale across enterprise partnerships, new markets, and product areas, were looking for a Product Marketing Manager to take our go-to-market work from brief to finished asset, with speed and quality.

This is a hands-on, build role. Youll write the decks, develop the messaging, and produce the materials our field teams rely on to win deals and support partners, working in close partnership with Sales.

In this role you will
Build sales and partner-facing collateral: Develop the decks, one-pagers, messaging frameworks, and launch materials Sales and Customer Success reach for-assets designed to get used in the field, not just delivered.
Translate product into buyer language: Turn complex product capabilities into clear, customer-centric narratives that resonate across Empathys B2B audiences-insurers, financial institutions, and employers.
Drive product and feature launches: Own launch materials end-to-end, coordinating across Product, Design, and the broader marketing team to ship on time and on message.
Enable the field: Equip Sales and CS with positioning, talk tracks, and training materials that support revenue targets-and refine them based on how they land in real deals.
Partner cross-functionally: Work naturally with Sales, CS, Product, and Design as collaborative partners-low friction, high follow-through.
Stay close to the market: Gather feedback from the field, partners, and competitive signals to sharpen positioning and flag early whats working and what isnt.

Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.
The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.
📍 Work location: hybrid from Tel Aviv
Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter

Required Data Engineer
Working in data is about finding what nobody else knew they lost. We want investigators, people who adapt, think flexibly, and know how to bring leadership onboard. From scientists to engineers to visualization experts, our data team is made for those who find the missing piece and act on it. So if curiosity is your default setting and making it useful your priority, the Data team might be what you're looking for.
Join our dynamic Data department as a Senior Data Engineer, where you'll play a pivotal role in launching a critical new data product. This is an opportunity to elevate our engineering rigor and deliver innovative solutions for the world's most popular freelance marketplace, tackling complex challenges with advanced data warehousing and full-stack development expertise.
What am I going to do?
Architect and design robust schemas for our new data product backend, ensuring scalability and performance.
Drive full-stack feature development for production-ready features, contributing to both data pipelines and user-facing elements.
Orchestrate and optimize data pipelines, guaranteeing reliable and timely data delivery.
Provide technical leadership to enhance software engineering standards across the team, mentoring other developers.
Integrate complex systems and manage schema design with a keen eye on cost optimization.
Collaborate closely with cross-functional teams in daily stand-ups and development cycles.

We are looking for a Senior Data Architect to help define and evolve the data architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable data systems, set technical direction for how data is ingested, modeled, stored, and served, and guide teams in making high-quality architectural decisions that balance delivery speed with long-term sustainability.
This is a hands-on, senior technical leadership role: you will spend most of your time shaping data architectures with teams, reviewing data models, pipelines and critical code, and driving shared standards and patterns across the organization, all in an advanced agentic environment.
Responsibilities:
Define and evolve the data architecture for key domains (ingestion, ELT/ETL, data modeling, storage, APIs, integration, observability, governance, and security), including owning the lakehouse/medallion architecture (bronze/silver/gold) and the data flows that move data across layers at scale.
Translate business and product requirements into pragmatic data designs, data contracts, and architecture roadmaps; create and maintain architecture artefacts (data flow/lineage diagrams, ADRs, reference implementations, modeling guidelines).
Evaluate design options and technology choices, articulate trade-offs, and lead decision-making with stakeholders; push forward the agentic mindset and implementation across the data platform.
Partner with squad leads and senior engineers to design data solutions, break down complex problems, and keep implementations aligned with the target architecture; participate in design/tech reviews to ensure NFRs (performance, scalability, data quality, resilience, security, operability) are addressed early.
Provide hands-on support where it matters most: spike and prototype critical data flows, review complex PRs, and help debug tricky production data and pipeline issues.

Grip Security is looking for a Senior Data Platform Engineer to join our community!
We are a fast-growing startup in the software-as-a-service and AI Security Industry. We provide innovative solutions to securing the whole organization-to-SaaS surface. (More details: https://grip.security)
Using the newest technologies, we're working on solving a huge problem all enterprises face today - to govern the accessibility of all their employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and ensure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI security field is complex and challenging; therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
The job
As a Senior Data Platform Engineer, you will play a key role in building and evolving Grips modern data platform - the infrastructure that powers product features and analytics across the company.
You will focus on designing and operating scalable, reliable data systems and platform tooling that support our Data Lakehouse, enabling engineers, analysts and research teams to work with data efficiently and with minimal friction.
Responsibilities:
Design, build and operate a cloud-native modern data platform.
Develop and optimize data processing frameworks and pipelines across batch and streaming workloads.
Improve developer experience and platform usability through tooling and automation.
Lead and support large-scale data migrations and architectural improvements.
Drive best practices around infrastructure, CI/CD, testing, and system design.
Collaborate with developers, analysts, data scientists and other stakeholders to develop new products and features.
Contribute to a strong engineering culture of ownership, learning, and knowledge sharing.