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Role Description The Director of DevOps is responsible for leading and transforming our DevOps and cloud engineering function to support a scaling, enterprise-grade SaaS platform. This role owns our cloud infrastructure strategy and execution across AWS (primary) and Azure, ensuring our systems are reliable, secure, cost-effective, and built to scale. As Director of DevOps, you will lead a growing team of DevOps engineers while remaining technically credible and strategically engaged. You will: - Reduce outages and eliminate critical incidents. - Strengthen our security and compliance posture. - Optimize infrastructure spend. - Enable continuous deployment across our primary platform. This role is ideal for a leader who has successfully built or matured a DevOps function within a scaling SaaS organization and is motivated by driving operational excellence, reliability, and platform maturity in a high-accountability environment. Qualifications - 8+ years of experience in cloud infrastructure, DevOps, or SRE roles within SaaS environments. - 3+ years of experience leading and developing DevOps, SRE, or infrastructure teams. - Deep experience with AWS in production, enterprise-scale environments. - Experience managing multi-region cloud architectures. - Strong experience with Kubernetes and containerized workloads. - Experience with Infrastructure as Code (Terraform required; CloudFormation preferred). - Experience designing and operating CI/CD systems (Jenkins and/or GitHub Actions). - Demonstrated track record improving uptime and reducing critical production incidents. - Experience handling PII and operating within enterprise compliance environments (e.g., SOC 2). - Proven success driving cloud cost optimization initiatives. - Strong architectural judgment and ability to balance reliability, scalability, and cost. Requirements - Own and evolve our multi-region cloud infrastructure strategy across AWS and Azure. - Oversee architecture decisions related to Kubernetes, networking, compute, storage, and data services. - Ensure infrastructure is scalable, secure, and aligned with long-term platform standards. - Serve as primary point of contact and relationship owner with major cloud and infrastructure vendors. - Drive infrastructure readiness to support AI-driven product capabilities and expanding data warehousing needs. - Drive measurable improvements in system uptime beyond our 99.9% SLA. - Eliminate critical (Sev1) incidents through improved architecture, monitoring, and operational discipline. - Mature incident response processes, postmortems, and root cause analysis standards. - Strengthen observability practices using New Relic and related tooling. - Formalize reliability metrics, SLAs, and operational accountability. - Lead the implementation of Continuous Deployment for our primary platform. - Standardize and modernize CI/CD practices across products (Jenkins, GitHub Actions). - Improve deployment consistency, predictability, and operational safety. - Reduce manual DevOps dependencies in routine development and solution architecture workflows. - Partner with Engineering Managers to ensure infrastructure and operational patterns enable efficient delivery. - Expand internal automation and self-service tools. - Own security engineering practices within Engineering. - Ensure secure handling of PII and sensitive data across multi-tenant and single-tenant environments. - Strengthen infrastructure security posture across cloud, container, and network layers. - Maintain and mature compliance programs (SOC, policy tracking via Drata, and related controls). - Proactively identify and mitigate infrastructure and operational risk. - Own cloud cost visibility, forecasting, and optimization initiatives. - Reduce AWS spend by 25% through architectural improvements, vendor negotiations, and operational efficiency. - Implement financial accountability mechanisms across infrastructure usage. - Establish reporting practices that align engineering decisions with cost impact. - Lead and grow a central DevOps team (currently 2–3 engineers). - Transition DevOps from a reactive, ticket-driven model to a proactive, platform-oriented function. - Define and prioritize DevOps roadmap initiatives aligned with company objectives. - Establish clear standards for infrastructure changes, architectural review, and operational readiness. - Maintain approximately 25% hands-on involvement in architecture, Terraform, CI/CD, or incident response work. Company Description

Role Description We’re looking for a hungry, hands-on Enterprise Account Executive to drive early go-to-market adoption with retail and e-commerce clients. You will execute the full sales cycle end-to-end — from prospecting and discovery to closing pilot deals and onboarding new customers. This is a high-impact, execution-first role, ideal for someone who thrives in early-stage environments and wants to help build enterprise sales motion from the ground up. - Own the full sales cycle for a focused set of retail and e-commerce accounts, from initial outreach to closing. - Generate and qualify leads through networking, outbound outreach, and leveraging your existing retail network. - Run pilots and demos with prospects, working closely with product and solutions teams to demonstrate measurable value. - Collaborate cross-functionally with internal teams (product, solutions, and engineering) to ensure smooth onboarding and early customer success. - Hit revenue and adoption targets while maintaining accurate pipeline management and forecasting. - Gather feedback from early customers to inform product improvements and GTM strategy. - Represent Company at retail and e-commerce events, tradeshows, and industry meetups, sharing real-world customer stories. Qualifications - 3–7 years of hands-on sales experience in enterprise retail, e-commerce, or SaaS (early-stage startup experience preferred). - Strong network within enterprise retail / e-commerce. - Proven track record of closing pilots and early deals in fast-moving, ambiguous environments. - Ability to prospect, demo, negotiate, and close deals independently. - Familiarity with retail operations, merchandising, or product data workflows is a strong plus.

Role Description We are seeking a Staff Applied Backend / ML Engineer to lead the design and implementation of production-grade, AI-driven systems that power intelligent products at scale. This is a deeply hands-on senior technical role responsible for: - Architecting distributed backend systems - Designing and deploying machine learning pipelines - Translating ambiguous business problems into robust, measurable solutions - Shipping hardened production systems — not just prototypes You will design high-performance APIs and data workflows, productionize ML models (training, evaluation, inference, monitoring), and ensure reliability, security, and scalability across cloud environments. This role is ideal for an engineer who thrives at the intersection of systems architecture, applied ML, and product impact, and can move from whiteboard design to production deployment without handoffs. What You Will Do - Backend & Distributed Systems - Architect and implement scalable backend services (REST / gRPC, async systems, event-driven pipelines) - Design data-intensive workflows and ETL / ELT systems - Build high-throughput, low-latency APIs - Own service reliability, observability, and performance tuning - Define API contracts and integration patterns across services - Applied Machine Learning - Design ML pipelines end-to-end (data ingestion → feature engineering → training → evaluation → deployment) - Productionize models (batch and real-time inference) - Build embedding pipelines, ranking systems, and classification / extraction models - Implement experimentation frameworks and offline/online evaluation loops - Establish model monitoring (drift detection, performance tracking, alerts) - Cloud & Infrastructure - Deploy services across cloud environments (GCP, Azure, AWS) - Design CI/CD pipelines for ML and backend systems - Implement infrastructure-as-code practices - Ensure system security, compliance, and scalability - Technical Leadership - Set engineering standards and architectural direction - Mentor engineers across backend and ML domains - Collaborate with product, data, and leadership teams - Break down ambiguous problems into measurable execution plans - Drive long-term AI and platform strategy Qualifications - 6+ years of backend engineering experience - 2+ years of applied ML in production environments - Strong Python or Java expertise - Experience designing distributed systems at scale - Hands-on experience deploying ML models in production - Experience with SQL + NoSQL databases - Familiarity with event-driven architectures (Kafka, Pub/Sub, streaming systems) Requirements - Feature engineering and data preprocessing - Embeddings, ranking, or similarity systems - Model evaluation frameworks - Model serving (batch and real-time) - Experimentation / A/B testing systems - Production monitoring and observability - Cloud-native architecture (GCP / Azure / AWS) - Containerization (Docker) and orchestration (Kubernetes) - CI/CD pipelines - API performance optimization - Security best practices for distributed systems Nice to Have - Experience with large language models (LLMs) in production - Experience building data platforms or workflow orchestration systems - Experience with vector databases - Experience in B2B, industrial, or commerce platforms - Familiarity with infrastructure-as-code (Terraform, Helm) What Success Looks Like Within 6 months, you will have: - Designed and shipped a production ML-backed service - Established reliability and observability standards - Improved performance and cost-efficiency of core systems - Mentored engineers and elevated technical quality across the team

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Enterprise Account Executive drives new enterprise revenue by identifying, developing, and closing complex sales opportunities with large multi-location organizations. This role requires disciplined territory planning, pipeline development, executive engagement, and structured deal execution. - Owns a defined geographic territory and is accountable for generating pipeline and closing new business that meets or exceeds quarterly and annual sales targets. - Works cross-functionally with Sales Engineering, Customer Success, Implementation, Product, Marketing, and Revenue Operations to deliver solutions that meet customer needs and drive measurable value. Qualifications - Bachelor’s degree in Business, Marketing, or related field, or equivalent professional experience. - 5-10 years of sales experience with a demonstrated track record of success in quota-carrying roles. - Experience selling enterprise software or technology solutions strongly preferred. - Experience navigating complex sales cycles involving procurement, legal, and executive stakeholders. - Strong prospecting and pipeline development skills. - Ability to build trust and credibility with senior decision makers. - Strong organizational and time management skills; able to manage multiple opportunities simultaneously. - Ability to travel approximately 20% as business needs require. Requirements - Drive new enterprise revenue within the assigned territory by executing a structured sales strategy and achieving or exceeding sales quotas. - Develop and execute territory plans that identify target accounts, market opportunities, and pipeline generation strategies. - Build and maintain a consistent pipeline of qualified opportunities through outbound prospecting, referrals, partnerships, events, and marketing collaboration. - Identify and engage key decision makers and executive stakeholders across operations, finance, IT, and procurement within target accounts. - Lead complex sales cycles including discovery, solution positioning, demonstrations, proposal development, negotiation, and contract execution. - Develop and manage mutual action plans and structured close plans to drive deal progression and stakeholder alignment. - Coordinate cross-functional teams including Sales Engineering, Product, Implementation, and Customer Success to support deal execution. - Conduct discovery to understand operational challenges, business objectives, and financial drivers. - Deliver presentations and demonstrations that clearly articulate business value and operational impact. - Prepare and present proposals, pricing models, and commercial structures aligned with enterprise customer needs. - Navigate procurement, legal, and security review processes typical of enterprise software purchases. - Maintain accurate pipeline management and forecasting in the company CRM system. - Participate in forecast reviews, pipeline inspections, and territory planning sessions with sales leadership. - Represent the company at industry events and networking opportunities to build market presence and relationships. - Collaborate with Marketing and Partnerships to support account-based initiatives and pipeline generation. - Maintain strong relationships with prospects throughout the sales cycle to ensure a high-quality buying experience. Company Description My client is a flexible, AI-forward facilities and HVAC/R management platform built for multi-site retail, grocery, restaurant, and consumer brands. We help operators control vendor chaos, reduce cost leakage, improve SLA performance, and gain portfolio-wide visibility across hundreds or thousands of locations.