Mid - Forward Deployment Engineer - USA

• 3-6+ years of overall technology experience, including significant time in architect-level or technical lead roles on complex, enterprise-grade systems.
• Strong business acumen — genuinely curious about how a client's business works, able to get past the surface-level ask to the real underlying problem before jumping to a solution.
• Exceptional problem-solving ability — comfortable with ambiguity, able to structure an open-ended or poorly defined problem and independently arrive at a workable, well-reasoned solution.
• Demonstrated experience owning solutions end-to-end — from client conversation to architecture to hands-on build to executive presentation — not just one slice of the lifecycle.
• Strong, current hands-on proficiency in Python and SQL, with a track record of building production-quality data pipelines, APIs, and applications personally (not just directing others).
• Deep experience with modern data platforms (Snowflake, Databricks, BigQuery, or Redshift) and orchestration tools (dbt, Airflow, Dagster, or Prefect).
• Strong grounding in AI/GenAI application patterns: LLM integration, RAG pipelines, embeddings, vector databases, and agentic workflows using frameworks such as LangChain or LlamaIndex.
• Working knowledge of at least one major cloud platform (AWS, Azure, or GCP), including compute, storage, networking, and managed AI/data services.
• Proven ability to engage directly with C-level and senior executive stakeholders — framing ambiguous problems, facilitating prioritization discussions, and presenting technical solutions in business terms.
• Strong stakeholder management skills — able to manage competing priorities across client, investor, and internal audiences, and build trust quickly in new environments.
• Prior experience in client-facing consulting, pre-sales engineering, solutions architecture, or a founding/lead engineering role at a fast-moving company.
• Comfort with rapid context-switching across unfamiliar codebases, domains, and technology stacks under tight delivery timelines.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).

• Experience with MCP (Model Context Protocol) or similar tool-layer/agent-integration patterns.
• Experience building client-facing applications, dashboards, or internal tools using React, Next.js, or low-code platforms (Retool, Appsmith).
• Experience with containerization and infrastructure-as-code (Docker, Kubernetes, Terraform) for deployment automation.
• Familiarity with data quality and observability tooling (Great Expectations, Monte Carlo, dbt tests, or Soda).
• Prior experience working with private equity portfolio companies, or in transformation programs tied to investor/board reporting cycles.
• Domain experience in financial services, healthcare, SaaS, or enterprise operations.

Cogniify?

• Own high-visibility engagements end to end, with direct exposure to Fortune 100 and global enterprise leadership.
• A rare career path that combines deep technical ownership with genuine business and executive impact.
• Work across diverse industries, technologies, and problem domains — no two engagements look the same, because no two solutions are the same.
• Be part of building the playbook for a new category of technical role, not just executing an existing one.

US East/West Coast: $165,000 - $175,000

Disclaimer: The base salary range is a guideline and may vary based on factors such as candidate experience, specialized skills, and geographical location.

Actual compensation may include additional benefits and bonuses.

Perks and Benefits of Working With Us

• Unlimited PTO.
• Please ask us about our very generous parental leave, much above industry standards!
• Entrepreneurial culture where pushing limits and taking risks is everyday business.
• Open communication with management and company leadership.
• Small, dynamic teams = massive impact.
• Medical, Dental and Vision coverage for employees.
• Access to Disability & Life insurance.
• Mental health and wellbeing support.
• Annual bonus program.
• Employer Stock Purchase Program (ESPP).
• Yearly team building experiences.
• Mentorship and sponsorship opportunities.
• Manager resources and support.

Cogniify is an equal opportunity employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristic