Gruve
https://gruve.aiAbout
Gruve was founded on the premise that new technologies in Machine Learning, Data Sciences, Artificial Intelligence, and Software Development are transforming Enterprise Services. Our goal is to harness these advancements to deliver services with superior efficiency and tangible outcomes.
Our Team
Our team is built with a strong background in Software and Services, united by a shared sense of Purpose: to achieve the best outcomes for our clients. We value all our stakeholders, recognizing that People are our most important assets. We adopt a Process framework that ensures the delivery of high-quality results every time.
What Sets Us Apart
Our differentiation is straightforward: we genuinely care, we innovate, we disrupt, and we work hard.
Our Core Values:
Customer Success: Putting customers first.
Positive Feedback Loop: Embracing continuous improvement.
Pursuit & Persevere: Staying resilient and ambitious.
Integrity and Ethics: Acting with honesty and ethics.
Team & Trust: Collaborating with trust and respect.
Giving Back: Committing to community and responsibility.
Gruve is Norwegian for "To Mine or Mining Activity"
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Jobs at Gruve
Machine Learning (ML)
Kubernetes
DockerAbout the Company
Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Position Summary
We are seeking a highly experienced and visionary Senior Engineering Manager – Inference Services to lead and scale our team responsible for building high-performance inference systems that power cutting-edge AI/ML products. This role requires a blend of strong technical expertise, leadership skills, and product-oriented thinking to drive innovation, scalability, and reliability of our inference infrastructure.
Key Responsibilities
Leadership & Strategy
- Lead, mentor, and grow a team of engineers focused on inference platforms, services, and optimizations.
- Define the long-term vision and roadmap for inference services in alignment with product and business goals.
- Partner with cross-functional leaders in ML, Product, Data Science, and Infrastructure to deliver robust, low-latency, and scalable inference solutions.
Engineering Excellence
- Architect and oversee development of distributed, production-grade inference systems ensuring scalability, efficiency, and reliability.
- Drive adoption of best practices for model deployment, monitoring, and continuous improvement of inference pipelines.
- Ensure high availability, cost optimization, and performance tuning of inference workloads across cloud and on-prem environments.
Innovation & Delivery
- Evaluate emerging technologies, frameworks, and hardware accelerators (GPUs, TPUs, etc.) to continuously improve inference efficiency.
- Champion automation and standardization of model deployment and lifecycle management.
- Balance short-term delivery with long-term architectural evolution.
People & Culture
- Build a strong engineering culture focused on collaboration, innovation, and accountability.
- Provide coaching, feedback, and career development opportunities to team members.
- Foster a growth mindset and data-driven decision-making.
Basic Qualifications
Experience
- 12+ years of software engineering experience with at least 4–5 years in engineering leadership roles.
- Proven track record of managing high-performing teams delivering large-scale distributed systems or ML platforms.
- Experience in building and operating inference systems, ML serving platforms, or real-time data systems at scale.
Technical Expertise
- Strong understanding of machine learning model deployment, serving, and optimization (batch & real-time).
- Proficiency in cloud-native technologies (Kubernetes, Docker, microservices architecture).
- Hands-on knowledge of inference frameworks (TensorFlow Serving, Triton Inference Server, TorchServe, etc.) and hardware accelerators.
- Solid background in programming languages (Python, Java, C++ or Go) and performance optimization techniques.
Preferred Qualifications
- Experience with MLOps platforms and end-to-end ML lifecycle management.
- Prior work in high-throughput, low-latency systems (ad-tech, search, recommendations, etc.).
- Knowledge of cost optimization strategies for large-scale inference workloads.
About the role
We are seeking an experienced Dynamics 365 Architect with a strong specialization in the Customer Service / Contact Center module to design, implement, and optimize enterprise-scale customer engagement platforms. The ideal candidate will have deep expertise in Dynamics 365 Customer Service, Omnichannel, Power Platform, and Azure Communication Services, and will play a critical role in driving digital transformation for customer support operations.
Location: Remote (9 am EST to 6 pm EST)
Key Responsibilities
- Solution Architecture & Design
- Lead the architecture, design, and deployment of Dynamics 365 Customer Service / Omnichannel solutions.
- Define end-to-end contact center architectures leveraging Dynamics 365, Power Platform, Azure Communication Services, and AI capabilities.
- Integrate D365 CC with telephony, IVR, chatbots, CRM, ERP, and third-party applications.
- Technical Leadership
- Provide architectural guidance to delivery teams across multiple customer support transformation programs.
- Define technical roadmaps, best practices, and standards for scalable and resilient customer service platforms.
- Conduct design reviews and ensure compliance with security, compliance, and enterprise standards.
- Implementation & Delivery
- Drive end-to-end implementation lifecycle including requirements gathering, solution design, customization, integration, testing, and go-live.
- Collaborate with business stakeholders, product owners, and customer experience leaders to translate requirements into technical solutions.
- Ensure high availability, performance optimization, and SLA adherence for omnichannel platforms.
- Innovation & Optimization
- Leverage AI/ML, Copilot, Power Virtual Agents, and automation to enhance agent productivity and customer experience.
- Drive adoption of self-service, chatbots, and intelligent routing to optimize cost-to-serve.
- Continuously assess new Microsoft Cloud innovations (Fabric, AI Builder, Cognitive Services) for contact center enhancement.
- Stakeholder Engagement
- Act as a trusted advisor for business and IT leaders, presenting solution options and value-driven roadmaps.
- Manage vendor/partner relationships for telephony, AI, and integration platforms.
- Deliver executive-level reporting on solution design, KPIs, risks, and program progress.
Preferred Qualifications
- 10+ years of experience in CRM/Contact Center solutions, with at least 5 years in Dynamics 365 Customer Service/Omnichannel.
- Proven track record of architecting and delivering large-scale customer service/contact center transformations.
- Strong hands-on knowledge of:
- Microsoft Dynamics 365 Customer Service / Omnichannel
- Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents)
- Azure Communication Services, Azure Cognitive Services
- Cloud Contact Center integrations (Genesys, Cisco, Avaya, NICE, Five9, etc.
- Deep understanding of case management, SLA/KPI tracking, routing rules, agent desktops, knowledge management.
- Experience with AI-powered customer service (chatbots, generative AI, predictive routing).
- Strong knowledge of security, compliance, and data governance (GDPR, PCI DSS, ISO standards).
- Certifications preferred:
- Microsoft Certified: Dynamics 365 Customer Service Functional Consultant Associate
- Microsoft Certified: Power Platform Solution Architect Expert
Soft Skills
- Strong leadership and stakeholder management skills.
- Excellent communication and presentation ability (executive and technical audiences).
- Ability to balance innovation vs. cost/risk in enterprise solutions.
- Strong problem-solving, conflict resolution, and vendor negotiation skills.
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