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Required Social Media Manager
About Your Day-to-Day:
As a Social Media Manager, you will play a meaningful role in shaping how we communicate our vision and interacts with the global engineering community.
You will work closely with the Content, Design, and Demand Generation teams, Product Marketing and CEO office, take ownership over our organic social presence and community engagement, and help transform complex technical concepts into clear, viral, and high-impact social narratives.
Responsibilities:
Owning and executing the global social media strategy across LinkedIn, X, reddit, stack overflow, YouTube, and emerging developer platforms with independence and accountability.
Collaborating with technical stakeholders to translate "Agentic Engineering" and platform engineering trends into engaging, platform-native content.
Turning ambiguity into a structured content calendar, ensuring a consistent and high-quality brand voice that resonates with developers and CTOs alike.
Driving high-quality execution of social campaigns, from live-tweeting major events to launching video series and product updates.
Communicating clearly and documenting performance, using data to track engagement, follower growth, and social-to-site traffic.
Continuously improving community standards, proactively engaging in technical discourse, and managing our online reputation.
How Success Will Look Like:
Success in this role means becoming our digital voice, building a loyal and engaged community of engineering leaders.
Within the first months, you are expected to:
Take full ownership of all social channels and establish a predictable posting cadence.
Deliver consistent, high-quality content that significantly increases organic engagement rates.
Proactively identify trending topics in the DevOps and Platform Engineering space to position us as a thought leader.
Build strong working relationships with internal SMEs (Subject Matter Experts) to extract insights for content.
Contribute to a calmer, more predictable social workflow through better planning and automation.

we are looking for an experienced Senior Full Stack Developer to join a large-scale project delivered by CodeValue for a government organization in Israel You will work on complex, mission-critical systems, using modern backend and frontend technologies, event-driven architecture, microservices, and distributed systems.

We're looking for a hands-on Filmer & Editor to join our creative team. You'll work directly with our Video & Motion Lead to produce high-quality video content - from studio brand shoots to social clips to conference coverage.
Day-to-day you'll be shooting and editing brand and social content in our in-house studio, cutting offline edits for review and feedback cycles, applying solid color grades to your own timelines, and occasionally heading out to conferences and events.
Responsibilities:
Operate our Sony FX3 and in-house studio setup for brand, social, and campaign shoots
Cut offline edits from brief to picture lock, managing the full feedback and revision cycle
Apply LUTs and basic color grading to your own edits - clean, consistent, and on-brand
Collaborate with the Video & Motion Lead on shoot planning, framing, and creative direction
Film at conferences, events, and off-site productions when needed
Keep project files, footage, and assets organized and accessible.

Required Senior BI Analyst
About the role:
Data only creates value when people can see it, trust it, and act on it. As Senior BI Analyst, you own that last mile: the BI platform everyone opens to answer their questions, and the KPI definitions that make sure the numbers on every dashboard mean the same thing across every team.
This is the business-facing anchor of our analytics function. You'll build and govern the reporting layer, define the metrics that leadership runs the company on, and lead the Business Analyst guild - the network of domain analysts embedded across GTM, Finance, CS, and Product. You're equal parts platform owner, metrics authority, and enabler of the analysts around you.
If you love turning messy business questions into clear, trusted, self-serve answers - and raising the analytical bar for a whole company while you do it - this role is for you.
What youll own:
Own the BI platform end-to-end - Design and manage the dashboard architecture, set standards for report building and certification, manage access/governance, and keep the platform performant and trusted
Define and govern company-wide KPI metrics - Build a certified KPI catalog with documented logic and ownership; arbitrate metric definitions across teams so "win rate" means the same thing everywhere and is encoded once in the semantic layer
Drive self-serve analytics adoption - Empower stakeholders to answer their own questions by making the platform accessible, intuitive, and built on trusted definitions
Co-lead the Analytics guild - Convene and lead the company-wide community of practice connecting domain analysts; run enablement, tooling decisions, and reviews to keep everyone aligned on standards and the certified KPI catalog
Bridge analytics and engineering - Partner with the AI Data Engineer to ensure business definitions translate consistently into technical implementations across dashboards and AI agents
What you'll do day to day:
Design, build, and maintain governed dashboards and reports that stakeholders actually use.
Curate the certified KPI catalog - definitions, logic, ownership, and change control.
Partner with GTM, Finance, CS, and Product to translate business questions into clear, reusable metrics.
Drive self-serve BI adoption and reduce ad-hoc reporting requests.
Run the Business Analyst guild: standards, reviews, enablement, and tooling.
Work with data engineering to keep KPI definitions aligned with the semantic layer and underlying models.
Own the health of the BI platform: access, performance, certification, and cleanup.

Required AI Data Engineer
About the role:
We're building the intelligence layer that lets everyone ask hard questions of our data and get trustworthy answers - in plain language, in seconds. As AI Data Engineer, you own the semantic and AI-native surface of our Snowflake platform: the governed semantic layer that defines "what a metric means," the Cortex Agents that let business users query it conversationally, and the infrastructure that keeps all of it fast, reliable, and ready to scale.
This is a builder-owner role. You'll ship the semantic models, wire up the agents, and set the standard for how analysts across the company work with data. You'll also lead the Data Analyst guild - the connective tissue that keeps our hub-and-spoke analytics model coherent as it grows.
If you're excited by the space where data engineering, LLM tooling, and analytics governance meet, this role sits right in the middle of it.
What youll Own:
Snowflake semantic layer - Own the semantic layer end-to-end as the single source of truth for metrics; design semantic models, enforce naming standards, and ensure consistent metric definitions across dashboards and AI agents.
Cortex Agents - Design and deploy conversational AI agents using Cortex Analyst and Cortex Search; tune for accuracy and safety, expose through multiple surfaces (Snowflake Intelligence, Streamlit, MCP), and build evaluation harnesses to maintain quality at scale.
Data craft (Analytics guild) - Co-lead the technical track of the Analytics guild; set SQL and modeling standards, run technical enablement and code reviews, and serve as the technical authority for analysts.
Scaling data infrastructure - Improve performance, reliability, cost efficiency, and governance across the dbt/Airflow/Airbyte/Snowflake stack as data volume and query load grow; optimize warehouse sizing, medallion layers, and ingestion pipelines.
What you'll do day to day:
Model and maintain semantic views that power both dashboards and AI agents, keeping definitions versioned, tested, and certified.
Build, evaluate, and iterate on Cortex Agents - including retrieval quality, guardrails, and observability.
Extend and optimize dbt models, Airflow DAGs, and Airbyte connectors across bronze/silver/gold layers.
Partner with GTM, Finance, CS, and Product stakeholders to translate business questions into governed, reusable data assets.
Run the Data Analyst guild: standards, reviews, enablement, and tooling.
Own data quality, lineage, and cost monitoring across the Snowflake platform.
Expose data and agents through Streamlit apps, BI tools (Omni), and MCP servers for internal AI workflows.