Business & AI applications manager Job at efficy (Paris)

Principal Engineering Manager - Applied AI

We are looking for a Principal Engineering Manager to join our growing Applied A...

Location

United States , Seattle

Salary:

240870.00 - 297652.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
4+ years working as an engineering manager
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming language
Substantial depth and breadth of management experience to lead and grow an Applied AI team
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, project planning, iterative implementation, and successful product launches

Job Responsibility

Lead a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Grow, coach, build and scale the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Business Management Intern

Hewlett Packard Enterprise offers university students the opportunity to join it...

Location

Netherlands , Amstelveen

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Genuine interest in the application possibilities of Cloud Computing, AI, (5G) private networks
a broad interest to approach a business case holistically: from a technology angle, economic, legal, sales & marketing
comfortable in presenting work including the right skills to create a presentation
excellent English language skills
Dutch is preferred.

Job Responsibility

Make a business analysis for 2026 to 2030 based on IT spend of Defense
create an HPE value proposition for Defense based on HPE product portfolio
perform HPE competitive analysis
develop business case of estimated Defense Investments.

What we offer

Initial extensive onboarding to support adjusting into the role
ongoing learning and development throughout the duration of the program
mentorship by at least one senior team member
international working experience
comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
career development programs.

Fulltime

Senior Product Manager, AI Agents

This role owns AI research, messaging, and context—spanning both the user experi...

Location

United States

Salary:

187000.00 - 250000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years in product management
2+ years experience launching AI/ML new products and scaling existing products
Track record of shipping AI features that drove measurable business outcomes
Experience with LLM-powered applications, prompt engineering, evaluation frameworks, and model selection tradeoffs
Comfortable working in Python/SQL to analyze data, prototype prompts, and evaluate outputs
Understanding of LLM architectures, RAG pipelines, agent frameworks, and inference optimization
Obsession with quality over speed
GTM or sales tech experience (strongly preferred)
Familiarity with sales workflows, prospecting tools, or CRM systems
Understanding of why sales teams are skeptical of AI tools and what it takes to earn their trust

Job Responsibility

Develop and execute a strategic roadmap for AI research, messaging, and context capabilities
Enhance Apollo's AI research agents to surface actionable insights from the web
Define how AI understands each user's business
Own AI-powered messaging tools that create personalized, context-aware emails at scale
Build and scale evaluation infrastructure across accuracy, relevance, clarity, and tone
Partner with engineering, design, prompt writers, and sales to deliver cohesive AI experiences

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior Product Manager - AI

We are seeking an experienced Senior Product Manager to join our Product team in...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in engineering or business management from top universities
6+ years of overall experience in software product management in SaaS or data/platform product companies
At least 4+ years of direct & hands-on PM experience
Experience building enterprise-grade B2B software products, ideally with notable technical data complexity and a focus on AI/ML applications
Proven experience working with AI technologies, including LLMs or ML models, to create products
At least one experience in building out agents or similar agentic / automation pipelines
A natural curiosity to continuously evolve with AI developments within the industry
Experience working with globally distributed teams in multiple timezone environments
Strong expertise with internal tools and systems in a medium to large enterprise and building complex systems around automation
Demonstrated experience aligning and influencing cross-functional teams and diverse stakeholders

Job Responsibility

Create and own the product roadmap for the AI Data Pipeline squad aligning to the overall business and product strategy that helps build and scale Arcadia’s energy data and AI products
Define, prioritize, and build product initiatives and features that improve the scale, quality, and reliability of the data systems, tools, and applications
Lead the AI Data Pipeline product squad to tackle utility data acquisition, extraction and enrichment challenges faced by internal teams
Champion (and model) AI tool usage (e.g., Gemini, Cursor) to drive productivity improvements both in product management and with your engineering team
Work with data science and other AI team members to design agentic features, prompts, and pipelines (e.g., RAG, MCPs)
Drive technical learning and innovation by self-learning new technology stacks (AI, Snowflake, etc.) and working with engineering to rapidly build and prototype solutions
Write clear and detailed product requirements that can be easily understood by technical and non-technical audiences
Collaborate cross-functionally with peers in Engineering, Operations, and Data Science to deliver products on time
Constantly monitor and update on the progress of the initiatives to all the relevant stakeholders and the leadership team
Balance long-term bets with short-term improvements, optimizing for speed of learning and time to impact

What we offer

Competitive compensation based on market standards
Flexible Leave Policy
Office located in the heart of the city in case you need to step in for any purpose
Medical Insurance (1+5 Family Members)
Flexible Benefit Plan
Awards and Bonus
Annual performance cycle
Quarterly engagement activities
A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency

Fulltime

Product Manager, AI Data Pipelines & Developer Community

As a Product Manager for AI Data Pipelines & Developer Community, you will be in...

Location

United States , Campbell

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Proven experience in product management, particularly with a focus on data and AI-driven products
Strong understanding of technical data architectures, machine learning models, and AI applications in a business context
Demonstrated success in growing technical product adoption and developer communities
Experience working with large datasets, data pipelines, and data platforms
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical audiences
Proven ability to think strategically and execute methodically, translating complex problems into actionable solutions
A Bachelor’s degree in Computer Science, Data Science, Business, or a related field is preferred

Job Responsibility

Define and Drive Product Strategy: Develop and communicate a clear vision and roadmap for the AI data pipeline platform and associated developer tools, ensuring alignment with business goals and market needs
Build and Optimize AI Data Pipelines: Work closely with our product team and IT, end-users, data engineers and data scientists from our customers to build, optimize, and maintain scalable data pipelines that allow them to enrich, classify, curate data for AI agents for augmentation and inferencing
Translate User Needs into Product Requirements: Gather and prioritize user requirements, translating them into detailed product specifications and coordinating development efforts with engineering and data science teams
Champion Developer Experience: Understand the needs of the developer community, both internal and external, and develop tools, resources, and programs that enhance their experience building with our AI data platform. Investigate participation in partner developer communities and open-source communities
Grow and Engage the Developer Community: Lead efforts to foster a vibrant developer community, potentially through events, forums, technical content, and strategic outreach
Measure and Analyze Product Performance: Define and track key metrics to measure the success and impact of both the AI data platform and community engagement efforts, using data-driven insights to iterate and improve
Cross-Functional Collaboration: Partner effectively with cross-functional teams, including engineering, marketing, sales, and customer success, to ensure product vision alignment and drive successful execution
Stay Ahead of the Curve: Monitor industry trends, emerging technologies, and competitive offerings related to AI, data infrastructure, and developer ecosystems

AI Application Engineer

As an AI Application Engineer at Rearc, you'll contribute to the technical excel...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

2+ years of experience in AI engineering, machine learning (ML), or related fields, bringing valuable expertise in building and deploying intelligent systems
Strong understanding of state of the art techniques in generative AI, including large language models (LLMs), text generation and other foundation models
Familiarity with AI orchestration tools (e.g. LangGraph, CrewAI, Bedrock Agents, smolagents, etc)
Experience in fine-tuning, prompt engineering or otherwise adapting generative models for specific use cases
Experience with AI model evaluation, including human-in-the-loop and LLM judge paradigms
Familiarity with NLP libraries and frameworks
Hands-on experience in implementing Retrieval Augmented Generation (RAG) architectures and integrating retrieval systems with generative models
Knowledge of at least one vector store or database (e.g. Opensearch, Pinecone, PostgreSQL with pgvector) and techniques for similarity search
Familiarity with common data ingestion/ETL patterns for populating knowledge bases
Experience with implementing LLM tool calling (either directly, via an orchestration framework, or using Model Context Protocol (MCP) clients)

Job Responsibility

Collaborate with Colleagues – Work closely with colleagues to understand customers' business objectives and technical challenges, contributing to the design and development of effective GenAI solutions tailored to client needs
Apply GenAI Principles – Utilize modern tools and frameworks like LangGraph, to build scalable, reliable, and maintainable Compound AI systems. Leverage your understanding of AI fundamentals to ensure every project meets rigorous industry and ethical standards
Adapt to the latest Technologies & Patterns – continue to research, learn, and stay abreast of the most recent state of the art for AI application development
Promote Knowledge Sharing –Bolster our culture of continuous learning by sharing knowledge about AI engineering best practices through blog posts, articles, and internal talks. Support a collaborative environment that fosters shared expertise and ongoing innovation across our community