Jobs at Modus Create

Conduct high-volume outbound prospecting across the US and Canada, research prospects, personalize outreach, qualify opportunities, and schedule meetings for the Sales team. Maintain accurate CRM records, support pipeline reporting, collaborate on sales and marketing optimization, provide market feedback, and attend industry events as needed.

Leads and coaches a Sales Development team while personally conducting outbound prospecting, researching prospects, qualifying opportunities, scheduling sales meetings, and managing CRM records. Owns KPI reporting, forecasting, performance development, recruiting support, and sales pipeline quality. Collaborates with Sales and Marketing to improve messaging, share market insights, and optimize lead-generation processes. This is a remote player-coach role covering the US and Canada.

Build and operate reliable, observable backend systems across AWS infrastructure and Python services. Responsibilities include defining SLOs and error budgets, designing monitoring, managing incident response and 24/7 on-call operations, conducting postmortems, automating toil reduction, optimizing performance, and improving deployment reliability. The role also mentors SRE engineers, creates operational documentation, collaborates with client teams, and supports AI workloads and platform reliability strategies.

Build and operate reliable, observable backend systems across AWS and Python services. Responsibilities include defining SLOs and error budgets, designing monitoring and alerting, managing incident response and 24/7 on-call rotations, conducting postmortems, improving performance and capacity, automating toil reduction, maintaining infrastructure as code and deployment pipelines, and mentoring SRE engineers. The role also involves consulting with client teams, documenting operational practices, and supporting AI workloads.

Build and operate reliable, observable backend systems across AWS infrastructure and Python services. Responsibilities include defining SLOs and error budgets, designing observability, managing 24/7 incident response, conducting postmortems, improving performance and resilience, automating toil reduction, maintaining infrastructure as code and CI/CD, creating documentation, and mentoring SRE engineers. The role also advises clients and leadership on reliability strategy and supports AI workloads.

Leads client-facing database migration and modernization engagements across AWS, relational, and NoSQL platforms. Designs migration architectures, data pipelines, ETL/ELT workflows, proof-of-concepts, and reusable technical accelerators. Facilitates executive conversations and workshops, translates complex technical solutions into business outcomes, and supports pre-sales opportunities. The role also develops GenAI-enabled migration tooling, influences senior stakeholders, and collaborates with distributed engineering, product, and data teams.

Design and deliver cloud-native data platforms, scalable big data pipelines, lakehouses, warehouses, transformation frameworks, BI solutions, and ML-enabled data workflows. Lead client-facing pre-sales engagements, technical workshops, proof-of-concepts, executive conversations, and enterprise data modernization initiatives. Build reusable architectural IP, influence senior stakeholders, and translate ambiguous business challenges into production-ready solutions using AWS and modern data technologies.

Designs, builds, and deploys production AI solutions using machine learning, deep learning, generative AI, and LLMs. Responsibilities include model development and evaluation, RAG pipelines, NLP applications, AI service integration, MLOps, data preparation, deployment, monitoring, testing, and scalable software engineering. Collaborates with engineering, product, and data teams in a distributed environment while supporting responsible, performant, and cost-effective AI development.

Lead digital product delivery for client teams from problem framing through release and adoption. Translate business intent into outcomes, requirements, priorities, features, stories, and acceptance criteria. Facilitate discovery and stakeholder alignment, manage tradeoffs, risks, dependencies, and delivery decisions, and partner with engineering, design, quality, and business teams. Use customer evidence, adoption signals, and success metrics to evaluate impact and guide iteration.

Lead enterprise-scale migrations to GitHub Enterprise Cloud, including repositories, users, access controls, workflows, Enterprise Managed Users, and data residency. Design governed identity and access environments, validate integrations, and deliver documented handoffs. Build and maintain scalable internal developer platforms, infrastructure automation, CI/CD pipelines, Kubernetes-based services, and self-service capabilities. Partner with clients, mentor teams, and support cloud-native modernization using Azure, Terraform, and GitHub tooling.

Lead digital product delivery for client teams from problem framing through release and adoption. Responsibilities include discovery, requirements, prioritization, backlog and story management, stakeholder alignment, risk and dependency management, cross-functional collaboration, and defining success metrics. The role independently guides product decisions across engineering, design, quality, business, and delivery teams in complex consulting environments.

Lead digital product delivery for client teams from problem framing through release and adoption. Responsibilities include discovery, requirements, prioritization, stakeholder alignment, risk and dependency management, delivery coordination, and defining success metrics. The role partners with engineering, design, quality, and business teams to turn ambiguous business intent into measurable product outcomes.

Design and ship end-to-end digital product experiences through research, workflows, interaction design, prototyping, responsive interfaces, and design systems. Collaborate directly with clients, product managers, engineers, researchers, content designers, and quality specialists from product shaping through implementation, release, and iteration. Use analytics, user feedback, usability testing, and AI-assisted tools to improve products and delivery practices.

Lead end-to-end product design for complex digital products in a client-facing consulting environment. Translate ambiguous challenges into product models, workflows, interfaces, coded prototypes, and production-ready implementation context. Collaborate directly with executives, users, product teams, and engineers while using AI-assisted development tools, Figma, and modern frontend technologies. Stay engaged through implementation, design QA, release, and iteration.

Design and deliver complete digital product experiences in collaborative client delivery teams. Translate user, business, and technical needs into workflows, interactions, prototypes, responsive interfaces, design-system patterns, and implementation guidance. Partner closely with product managers, engineers, researchers, and quality specialists through development, design QA, release, and iteration. Conduct or support research and usability testing, use analytics and feedback to improve products, and apply AI-assisted tools to accelerate exploration and prototyping.

Lead product design for complex digital products from ambiguous discovery through production. Collaborate directly with clients, users, product leaders, and engineers to define workflows, systems, prototypes, and implementation context. Create coded and AI-assisted prototypes using React and modern web technologies, facilitate stakeholder decisions, support design QA and release, and ensure accessible, production-ready experiences across complex operational scenarios.

Lead enterprise-scale migrations to GitHub Enterprise Cloud, including repositories, users, permissions, workflows, Enterprise Managed Users, IAM, and data residency. Design and maintain scalable internal developer platforms, Kubernetes-based infrastructure, CI/CD pipelines, and self-service capabilities using cloud-native technologies and infrastructure as code. Validate integrations, document governed environments, mentor client teams, and collaborate independently with distributed stakeholders.

Lead the architecture and delivery of complex, production-grade digital products while remaining hands-on in React, TypeScript, AWS, APIs, backend services, and distributed systems. Partner directly with clients and senior stakeholders, guide technical decisions, lead projects from discovery through production, mentor engineers, and establish engineering standards. Incorporate AI-assisted and agentic coding tools into development workflows, with opportunities to build AI-powered applications and lead cloud modernization initiatives.

Architect and deliver production-grade cross-platform mobile applications using Flutter and/or React Native. Lead architecture, development, testing, performance optimization, CI/CD, and App Store and Google Play deployment. Integrate APIs, cloud services, authentication, SDKs, and AI/LLM capabilities. Collaborate with clients and product teams, make pragmatic technical decisions, mentor engineers, and establish mobile engineering standards while using AI-assisted and agentic development tools.

Design, build, and deploy production-ready intelligent solutions using machine learning, deep learning, generative AI, and large language models. Develop RAG pipelines, integrate AI services, manage model deployment and MLOps workflows, and apply strong software engineering practices. Collaborate with engineering, product, and data teams in a distributed environment to create scalable, reliable, responsible AI-powered products.