
1001 - 5000 employees
Founded 2000
📡 Telecommunications
☁️ SaaS
🏢 Enterprise
💰 $50M Venture Round on 2009-08
Telecommunications • SaaS • Enterprise
Calix is a comprehensive solutions provider that focuses on enabling broadband service providers (BSPs) to simplify, innovate, and grow their businesses. Through its advanced broadband platform, Calix offers technologies like 10G-PON, 5G, Wi-Fi 7, and more to improve network operations, reduce downtime, and enhance the subscriber experience. The company provides managed services such as SmartLife and SmartHome, which help subscribers operate, secure, and enhance their connected lifestyles. Calix serves diverse provider types including telcos, cable operators, and municipal utilities, helping them deliver critical broadband connectivity and transform community access to digital services. With a focus on cloud technology, analytics, and transformation guidance, Calix empowers service providers to thrive in the digital age.
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1001 - 5000 employees
Founded 2000
📡 Telecommunications
☁️ SaaS
🏢 Enterprise
💰 $50M Venture Round on 2009-08
Telecommunications • SaaS • Enterprise
Calix is a comprehensive solutions provider that focuses on enabling broadband service providers (BSPs) to simplify, innovate, and grow their businesses. Through its advanced broadband platform, Calix offers technologies like 10G-PON, 5G, Wi-Fi 7, and more to improve network operations, reduce downtime, and enhance the subscriber experience. The company provides managed services such as SmartLife and SmartHome, which help subscribers operate, secure, and enhance their connected lifestyles. Calix serves diverse provider types including telcos, cable operators, and municipal utilities, helping them deliver critical broadband connectivity and transform community access to digital services. With a focus on cloud technology, analytics, and transformation guidance, Calix empowers service providers to thrive in the digital age.
• Own the architecture and rollout of the enterprise AI platform across the product organization. • Build and operate cost-effective infrastructure: model garden setup, budget controls and cost monitoring, model tiering, and fallback open-source models. • Stand up and harden platform foundations - identity federation/SSO, IAM, tenant isolation, security and compliance guardrails, and observability. • Enable users to adopt off-the-shelf capabilities (e.g., NotebookLM, enterprise search, code assistants) and provide the training and ongoing support that drives real adoption. • Design and deliver a self-service “agent factory” - patterns, templates, and in-IDE guardrails - so teams can build and maintain their own agents safely. • Lead the design and build of agent workflows across the PDLC: Ideation: requirement ideation and generation, design specification generation. • Partner directly with product, engineering, and other business teams to understand their requirements and help build out their use-cases - not just ship infrastructure but drive measurable productivity gains. • Establish evaluation, quality, and monitoring practices for agent workflows from sandbox to production. • Build agents that interoperate with agents on other enterprise AI platforms, including cross-platform contracts, schema/intent mapping, and cross-perimeter authentication. • Own the technical strategy, standards, patterns, and guardrails for agentic workflow development, RAG, security, and governance. • Lead and mentor a team across cloud and enterprise AI tracks; raise the bar through code review, pairing, and design reviews. • Steer external delivery partners - scope work, review deliverables, and hold them to quality and timeline. • Stay hands-on: build reference agents, RAG pipelines, integrations, and MCP connectors, and debug the hardest pieces (including non-deterministic retrieval/generation behavior).
• 10+ years of software engineering experience, with 4+ years in a technical lead or staff-level role. • Strong, current hands-on coding ability - you still build and ship. • Proficiency in Python (and comfort across at least one other modern language). • Experience designing and operating production AI/ML or LLM-based systems: agents, RAG, prompt/eval pipelines, or similar. • Deep familiarity with Google Vertex AI / Gemini and the surrounding services (IAM, networking, observability, cost management). • Experience building developer-facing platforms or internal tooling, and driving adoption with training and support. • Experience integrating systems via APIs and connectors; comfort with authentication and identity federation (OAuth, SSO, workload identity). • A track record of leading technical initiatives across teams and influencing without authority. • Strong communication skills - able to work directly with both engineers and non-technical business stakeholders.
• Bonus eligibility • Professional development opportunities
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