Kodex

Machine Learning Engineer

• Build and deploy models to detect and flag suspicious behavior (classification, anomaly detection, clustering, ranking, and other approaches as appropriate)
• Own ML pipelines end-to-end (feature generation, training, evaluation, batch/streaming inference, backfills, and versioning)
• Design evaluation + monitoring: ground truth strategies with Threat Intel, offline metrics, drift monitoring, and alerting
• Collaborate with product & engineering to integrate intelligence into user-facing workflows (e.g., review queues, and decision-support tooling)
• Improve data quality and accessibility by working with data engineering patterns (schemas, lineage, reproducibility, and access controls)
• Contribute to operational rigor: runbooks, incident response, and safe rollout practices for systems that impact customer trust

ML Engineer – Verifications

Full-stack Engineer

• Build and operate customer-facing integrations (APIs, identity federation, webhooks, imports/exports, and marketplace apps) that reduce manual work for customers, unblock new product workflows, and raise the reliability and security bar across the platform.
• Work closely with Product, Customer Success, and fellow engineers to design, develop, and ship integration capabilities that unlock new workflows.
• Building external-facing APIs and “Bridge” infrastructure for ingest/egress of requests between Kodex and third-party systems.
• Shipping identity and verification integrations such as “Sign in with Kodex (OIDC)” and related security reviews, test environments, and customer enablement.
• Delivering cross-border / government portal integrations that require careful spec compliance, auditing, and operational rigor.
• Productizing existing bespoke integrations into reusable, scalable primitives.
• Building self-serve integrations that eliminate manual setup and reduce on-call/customer support load.
• Improving reliability and observability across integration surfaces.
• Participate in on-call rotations to maintain system reliability and respond to incidents.
• Raise the bar on engineering quality through thoughtful architecture, testing, and pragmatic refactors.

Software Engineer – Integrations

Marketing

• Own the private sector field strategy: which events to bet on, which accounts to activate, and how to convert in-person interactions into closed pipeline.
• Partner with Sales to identify the personas and ICPs we need to reach, and design field activations that bring them to the table.
• Build the operating cadence with sales leadership: account targeting, list pulls, follow-up handoffs, post-event measurement.
• Operate as an extension of the sales team - earn trust through pipeline contribution, not events run.
• Co-build OKRs with marketing and sales leadership tied to field-influenced pipeline.
• Make sales reps look good - shoutouts at deal close are a leading indicator the partnership is working.
• Plan and execute the private sector event calendar: customer events, road shows, third-party trade shows, EBCs, dinners, and account-based activations.
• Own campaign execution alongside the events: landing pages, outreach copy, registrant nurture, and post-event follow-up sequences.
• Manage budget and vendor relationships across the private sector field portfolio.
• Use AI tools to accelerate the work - landing pages, draft copy, campaign briefs - so the team operates with the leverage of a much larger team.
• Build documentation and processes that scale alongside the function.

Field Marketing Lead – Private Sector

Customer Success Manager

• Drive overall vision of post-sales experience (from adoption to renewal) in close partnership with our Sales and Business Operations leadership
• Set implementation requirements and manage timelines to ensure smooth onboarding and high customer engagement from Day 1
• Build and nurture relationships across accounts to solidify our partnership and commitment to the customer
• Triage, resolve, and track customer-reported issues — escalating to the engineering team when needed to ensure timely resolution and clear communication back to the customer
• Advocate for our customers' needs within the engineering roadmap
• Innovate on modern solutions, using data to guide customer engagement and serve clients at scale across their lifecycle
• Work cross-functionally to deliver a unified customer experience.

ML Engineer – Verifications

Software Engineer – Integrations

Field Marketing Lead – Private Sector

Enterprise Customer Success Manager, CSM