Platform Manager Data & AI Job at Beretta Clima Italia (Bengaluru)

Senior Technical Program Manager, Productivity Engineering (Data Platform · AI Transformation)

10x Genomics is rewriting the rules of biological discovery — and our platform n...

Location

United States , Pleasanton

Salary:

164100.00 - 222100.00 USD / Year

10x Genomics

Expiration Date

Until further notice

Requirements

5+ years of TPM experience with demonstrated ownership of complex, multi-stakeholder programs
Meaningful time at a mid-stage startup (Series A–D), or equivalent experience as a founder or early employee — you know what it means to build without a safety net
Hands-on delivery across data infrastructure or data platform programs: pipelines, warehousing, ELT, real-time data flows
Fluency in modern integration patterns — you can hold a substantive conversation with engineers about event-driven architecture, API design, and middleware retirement without needing a glossary
Proven ability to build the roadmap, not inherit one. You have done this before and have the scars to show it
Strong written and verbal communication — you can write a crisp exec update and a detailed program brief and know when each is appropriate

Job Responsibility

Own and drive the roadmap across AI / Data Platform and Finance integration programs
expand scope as the business grows
Take programs from zero to shipped — scoping, sequencing, dependency management, risk visibility, and retrospective
Translate ambiguous business problems into structured, time-bound programs with clear milestones and decision points
Run delivery end-to-end without needing a playbook handed to you. You write the playbook
Hold engineering, product, and business teams accountable to commitments — without relying on hierarchy to do it
Understand how Data Platform programs create upstream capability for AI and ML — design with that lens from day one
Own AI-specific program tracks: NLQ rollout, Bedrock integrations, model deployment pipelines, and data readiness for AI
Partner with Data Engineering, Product, and Science teams to ensure programs are not just delivered but compound into AI readiness
Push teams to think end-to-end: what does this program unlock downstream, and are we building toward that

What we offer

Equity grants
comprehensive health and retirement benefit programs
annual bonus program or sales incentive program
Health Package
Easy-to-use Benefits
Family oriented
Generous Time Off
Award-Winning Workplace

Fulltime

Manager, Software Engineering - AI and Data Platform

The Engineering Manager, Data & AI Platform is responsible for leading teams tha...

Location

United States of America

Salary:

133700.00 - 173800.00 USD / Year

Blackbaud

Expiration Date

Until further notice

Requirements

8+ years of experience in software, data, or platform engineering (.NET, Azure, Databricks, ADO preferred)
3+ years of experience managing and developing data engineering teams
Hands‑on experience with modern data platforms, cloud data lakes/lakehouses, distributed processing, streaming, APIs
Strong understanding of platform engineering principles and operating production systems at scale
Proven ability to lead through ambiguity and influence without authority.

Job Responsibility

Own and evolve core Data & AI platform capabilities, including ingestion, transformation, lakehouse architecture, feature services, and AI/ML enablement layers
Drive platform decisions aligned with Blackbaud’s Unified Data & AI Platform Strategy (modularity, interoperability, AI‑first design)
Partner with Architecture, Governance, and Security to ensure the platform meets trust, compliance, and Responsible AI standards
Balance build vs. buy decisions, prioritizing core competencies while reducing operational complexity
Lead teams to deliver high‑impact platform initiatives aligned to AOP priorities (legacy modernization, cloud migration, cost optimization, agent enablement)
Ensure platform reliability through operational excellence, including monitoring, incident management, and performance optimization
Establish clear roadmaps, milestones, and success metrics for platform initiatives
Hire, mentor, and grow high‑performing platform engineers across geographies
Provide regular feedback, coaching, and career development aligned with Blackbaud’s people strategy
Ensure every team member has clear goals, an active IDP, and opportunities to grow in modern Data & AI skills

What we offer

Medical, dental, and vision insurance
Remote-flexible workforce
Wellness Programs
401(k) program with employer match
Flexible paid time off
Generous Parental Leave
Donations for Doers
Pet insurance, legal and identity protection
Tuition reimbursement program

Fulltime

Manager, Data Science - AI for Data

Manager, Data Science - AI for Data. Data is at the center of everything we do. ...

Location

United States , San Jose, California; McLean, Virginia; New York, New York

Salary:

197300.00 - 245600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Move fast in an environment with ambiguity at times, and with competing priorities and deadlines
Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Kraków

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

GCP Expertise (verifiable - ask for production examples): GCP is their primary cloud not secondary experience alongside AWS/Azure. Production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity. Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only. Strong track record building distributed systems and integrating LLMs.
Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer. RAG pipelines shipped to production. Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration. AI agent workflows, ReAct prompting, and Function Calling in production environments
Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed. Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls.
API Design & Integrations: Proven ability to create secure, high-performance APIs capable of asynchronously managing traffic and communication between multiple decoupled services.
Enterprise Security: Practical knowledge of data isolation in multi-tenant SaaS architectures, IAM, and securing cloud-based environments.
Vector Databases: Hands-on experience with semantic search and at least one of: Pinecone, Weaviate, pgvector, or Vertex Matching Engine.

Job Responsibility

System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources

What we offer

Attractive salary
Full remote work
Social benefits:sporto card,healthcare insurance

Fulltime

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Katowice

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

Requirements

GCP Expertise (verifiable - ask for production examples): production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity
Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only
Strong track record building distributed systems and integrating LLMs
Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer
RAG pipelines shipped to production
Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration
AI agent workflows, ReAct prompting, and Function Calling in production environments
Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed
Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls

Job Responsibility

System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources

What we offer

Attractive salary
Full remote work
Social benefits: sport card, healthcare insurance

Fulltime

Team Manager AI & Data Strategy

At Vantage Towers, we're on a mission to power Europe's sustainable digital tran...

Location

Portugal , Lisboa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in business, computer science, data analytics, engineering, or related field (or equivalent experience)
Several years of experience in data, analytics, and/or data platform environments with responsibility for business-facing delivery
Proven experience leading teams and/or complex delivery streams in stakeholder-driven environments
Strong understanding of cloud-based data platforms, ideally GCP, including data lake and scalable analytics platform concepts
Familiarity with GCP services such as BigQuery, Cloud Run, Airflow, Dataflow, or comparable services on other cloud platforms
Some exposure to ML/GenAI/RAG/agentic implementations (worked alongside teams delivering such solutions
understands key data requirements and common pitfalls)
Experience in managing data integration, transformation and reporting environments
ability to steer end-to-end delivery
Experience driving business value and adoption from data solutions (self-service analytics, reporting products, datasets)

Job Responsibility

Lead and develop the Data team (data engineers, data analysts and data architects)
set clear goals, coach performance, and foster a collaborative delivery culture
Drive prioritization based on business value, strategic impact and feasibility
maintain a transparent backlog and delivery roadmap - including AI-enabling priorities where data foundations are critical
Ensure key datasets are AI-ready and adopted by driving data quality, documentation and consistent business semantics that support downstream AI and analytics consumption
Manage stakeholder demand end-to-end: clarify needs, translate into deliverable requirements, and align expectations across business and IT
Oversee the development and operation of a scalable, maintainable and reliable GCP-based data platform and analytics products as the foundation for scalable AI use cases
Steer data integration, transformation and reporting delivery across GCP components (e.g., BigQuery, Cloud Run, Airflow, Dataflow) and related services
Ensure orchestration, monitoring and operational transparency
establish run-books, KPIs and platform health reporting, and drive cost awareness and optimization of GCP resources

What we offer

A diverse, multicultural setup based on our values – Accountability, Respect, Teamwork, and Trust – and the unique opportunity to shape the organisation
An attractive salary package
Meal Allowance: Delivered on Pluxee card - €10.20/day
Pension Plan
Full Health Insurance: For employees and co-payment for family members
Life Insurance
7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's
Parking Slot

Fulltime

Sr Staff Software Engineer (Data & Ai Platform)

We are looking for a talented and experienced Sr Staff Software Engineer to join...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
At least 5 years of experience with Python
Minimum of 2 years of hands-on experience with AWS
Proven experience with the full Software Development Life Cycle (SDLC), including design, development, testing, and deployment
Excellent problem-solving skills and strong attention to detail
Ability to manage multiple projects simultaneously and strong organizational skills

Job Responsibility

Define and implement best practices for the R&D platform
Collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions
Work on edge technologies and cloud platforms to enhance our services
Participate in all phases of the SDLC, including design, development, testing, and deployment
Ensure high ROI on deliverables by optimizing processes and solutions
Share knowledge and best practices across the company to promote a culture of continuous improvement

Fulltime

Senior Product Manager, Data Platform

We are seeking a Senior Product Manager to join our Data & AI team and lead prod...

Location

United States , Los Angeles

Salary:

165000.00 - 200000.00 USD / Year

Genius Sports

Expiration Date

Until further notice

Requirements

Significant product management experience, with meaningful experience owning data platform, infrastructure, API, or enterprise platform products
Strong understanding of real-time data systems, data pipelines, ETL/ELT, data warehousing, APIs, and large-scale distributed platforms
Experience working closely with engineering teams to deliver complex technical products and platform capabilities
Demonstrated ability to define product strategy and execute in cross-functional environments with multiple stakeholders and competing priorities
Strong analytical and problem-solving skills, with the ability to evaluate data sources, define business value, and make sound prioritization decisions
Excellent written and verbal communication skills, including the ability to translate between technical and non-technical audiences
Experience building or supporting products related to analytics, BI, machine learning, or AI-enabled use cases
Comfort operating in fast-paced environments where reliability, scalability, latency, and data quality are business-critical
Familiarity with live event data collection workflows, including operator-assisted and computer-vision-driven systems
Experience with modern data platform technologies, streaming architectures, observability tooling, and cloud-based data ecosystems

Job Responsibility

Maintain and Modernize Data Pipelines
Enable Data Warehousing, Reporting, and Advanced Analytics
Build, Maintain, and Evolve Data Distribution Tools
Lead Product Strategy and Cross-Functional Execution

What we offer

Competitive salary and range of benefits
Committed to supporting employee wellbeing and helping you grow your skills, experience and career

Fulltime

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Platform Manager Data & AI

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