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Were looking for a highly technical, automation-driven Hubspot Specialist to own and optimize our HubSpot ecosystem and the workflows that power our Sales teams. If you enjoy building scalable automations, integrating tools and solving operational challenges with low/no-code vibe coding, youll thrive in this role.



Why Youll Love This Role

High ownership of GTM systems and automation infrastructure.
Ability to build workflows that directly impact growth and operational efficiency.
Fast-moving environment with room for creativity, experimentation, and innovation.
Meaningful cross-department influence, helping unify Sales, Product, and R&D priorities.
HubSpot Ownership
Serve as the primary owner of HubSpot across Marketing, Sales, and Service Hubs.
Build and optimize workflows, pipelines, properties, scoring models, and lifecycle automations.
Maintain HubSpot data hygiene, architecture, naming conventions, and user setup.
Automation & Integrations
Design and maintain advanced automations using external no-code tools (Zapier, make.com, and etc.) and working closely with the Product & R&D departments.
Troubleshoot sync issues, workflow conflicts, and integration failures.
Data, Reporting & Insights
Work with Product and Data to define which data is collected and how to visualize it.
Build and maintain dashboards that track sales activity, deal flow, and performance trends.
Process Design & Optimization
Map, refine, and automate processes for lead management, lifecycle stages, routing, handoffs, etc.
Identify operational gaps and implement scalable solutions.
Create documentation, training, and best practices for GTM teams.
Cross-Functional Collaboration
Partner closely with Marketing, Sales, CS, and Product to translate operational needs into system builds.
Support team enablement on HubSpot tools, dashboards, and automations.

We are hiring a Mechanical-Thermal Design Engineer to help define, shape, and integrate the next generation of our ML training and inference accelerators. In this role you will own the mechanical-thermal design of add-in / mezzanine cards, high-power GPU sleds and full ML racks. You will work shoulder-to-shoulder with HW, FW, and silicon teams to drive decisions on cooling solutions, power delivery packaging, structural integrity, and manufacturability, and will lead the mechanical-thermal engagement with our ODM, component vendors and data-center operators.

Key job responsibilities
1. Own the mechanical-thermal design of Annapurna next-generation Machine Learning sled and rack (including thermal solutions and mechanical challenges on PCB / chassis / rack level).
2. Lead and review mechanical and thermal design performed by ODM partners or contractors and component vendors.
3. Debug mechanical and thermal failures on production data center; drive root-cause to closure; take previous learnings to next products.
4. Design and execute mechanical and thermal experiments in the lab - from DOE through measurement, analysis, and corrective action.
5. Travel to ODM/manufacturer/vendor sites to monitor and review project kickoffs, device bringups and manufacturing lines.

We are looking for a SoC / IP Architect to shape the next revolution in electronics!
Responsibilities
Define and design architecture: Create the overall SoC/IP architecture based on product and customer requirements and define detailed technical specifications.
Collaborate with cross-functional teams: Work with a variety of teams, including logic design, verification, firmware architecture and development teams, and physical design, to ensure successful execution.
Lead technical discussions and architectural reviews, guiding design and verification teams to deliver scalable, high-quality implementations.
System-level integration: Ensure seamless hardware-software co-design by working on aspects like control paths, interrupt schemes, and debug infrastructure.
Drive architectural decisions that optimize scalability, and future readiness for next-generation applications.

We are seeking an Applied Scientist to help build our next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for our customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.

We are seeking an Applied Scientist to help build our next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for our customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.

We are looking for a Senior ASIC Physical Design Engineer to join our dynamic team, Join the ride as we spearhead the next revolution in electronics!
What Youll Do
Own and continuously improve our smooth product backend integration methodology, flows, and best practices using Cadence and Synopsys tools.
Develop, maintain, and scale automation and infrastructure (TCL / Python) to improve quality, predictability, and turnaround time.
Collaborate closely with multiple teams to ensure smooth handoffs and high-quality product.
Support field teams on complex technical issues when needed.
Responsibilities:
Implementation of ASIC units using advanced flows
Developing BackEnd methodology using Cadence and Synopsys tools
Build and develop scripts for physical design implementation
Support Field team with customer issues.

We are a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of our services globally.

Cutting-Edge Technology: Work on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions at the intersection of hardware and software.

Growth & Innovation: Benefit from AWSs resources, mentorship programs, and opportunities to publish technical content.