Think before building
Understand the business problem before solving the ticket.
- Problem framing
- User and business context
- Buildable decisions
The best problems sit between disciplines.
The work here moves across business, product, design, engineering, data, and operations. You may be solving a customer journey one week, a workflow constraint the next, and a platform or data problem behind both.
This is not a place for narrow handoffs. The problems we work on usually need product judgment, technical depth, business context, clear writing, and the ability to make sense of ambiguity without making the work noisy.
What you will build
Products, platforms, and workflows people depend on.
The work reaches customers, employees, operations teams, data teams, and decision makers inside complex enterprise environments.
Customer-facing products
Apps, portals, journeys, and service platforms that help users complete meaningful tasks with less effort.
- Customer journeys
- Self-service flows
- Adoption feedback loops
- Journey analytics
Internal work systems
Decision tools, workflow surfaces, and operational systems that reduce manual effort and improve throughput.
- Operational dashboards
- Role-based workflows
- Exception handling
- Throughput visibility
Data and intelligence systems
Pipelines, dashboards, recommendations, and AI-assisted workflows that help teams move from signal to action.
- Data products
- Semantic layers
- AI-assisted decisions
- Signal quality
Platform foundations
APIs, integrations, cloud architecture, release systems, and modernization work built for scale and reliability.
- Integration layers
- Cloud foundations
- Release reliability
- Modernization paths
Governance flows
Consent, compliance, risk, audit, and control patterns built into how enterprise data and decisions move.
- Consent flows
- Audit trails
- Policy-aware systems
- Decision controls
How teams work
Small teams. Real ownership. No hiding from the outcome.
Our teams work close to the client problem and close to the build. That means clearer context, fewer empty handoffs, and more responsibility for how the work performs.
Design for use
Make the work understandable, usable, and reliable for the people who depend on it.
- Clear interaction patterns
- Reliable completion paths
- User confidence
Build with care
Engineering quality matters because enterprise systems carry real work.
- Code quality
- Testing discipline
- Production reliability
Communicate clearly
Good work needs crisp writing, clear reasoning, and honest visibility.
- Status clarity
- Tradeoff visibility
- Decision context
Own the outcome
The job does not end when a feature ships. It matters whether the work helped.
- Production feedback
- Outcome accountability
- Adoption signal
Who thrives here
For people who like complexity without the theatre.
This is a place for people who can think clearly, build carefully, communicate directly, and stay close to the work when the problem gets harder.
You are curious about the business.
You want to understand why something matters before deciding how to build it.
- Ask why
- Connect to business context
You can structure ambiguity.
You can turn unclear inputs into better questions, options, and next steps.
- Structure ambiguity
- Make progress visible
You care about craft.
You notice the details in design, code, copy, data, QA, and delivery because small misses become real friction.
- High-quality execution
- Edge-case awareness
You think in systems.
You see how product behavior, workflows, data, architecture, and governance affect one another.
- System dependencies
- Cross-layer thinking
You want the work to be used.
You care whether what you build helps people do something better.
- Useful outcomes
- Adoption mindset
How you grow
You grow faster when the work is close to reality.
At Mantra, learning comes from working on systems with real users, real constraints, and real consequences.
Product judgment
Translate business problems into product behavior, user journeys, and buildable decisions.
Enterprise engineering
Build systems that integrate, scale, recover, and keep working inside complex environments.
Data and AI readiness
Understand how data, rules, workflows, review paths, and governance shape whether intelligence creates value.
Client problem-solving
Ask better questions, communicate clearly, and move from ambiguity to action.
Delivery discipline
Ship with quality, manage tradeoffs, and protect the outcome when complexity increases.
Our standards
The bar is usefulness, not activity.
We value clear thinking, careful execution, and work that makes a real difference to the people and businesses that depend on it.
Clarity over noise
Make the problem, tradeoff, and next step easier to understand.
- Crisp writing
- Clear decisions
Craft over shortcuts
Do the work in a way that holds up after the first review, first release, and first edge case.
- Review-ready work
- Release durability
Ownership over handoff
Stay close enough to the outcome to know whether the work actually helped.
- Fewer handoffs
- Outcome ownership
Learning over ego
Improve the work faster by questioning assumptions and responding to evidence.
- Evidence-led learning
- Low ego collaboration
Usefulness over performance
The goal is not to look busy. The goal is to build things that make work better.
- Useful systems
- Measurable progress
Hiring process
A clear process for serious work.
We want both sides to understand the role, the expectations, and the way we operate before making a decision.
01
Intro conversation
A short conversation about your experience, interests, and what kind of work you want to do.
02
Role discussion
A deeper discussion with the team about the role, expectations, current work, and fit.
03
Work review or exercise
Depending on the role, we may review past work or ask you to complete a focused exercise.
04
Final conversation
A final discussion around team fit, growth path, and what success would look like in the role.
Open roles
Engineering roles currently open.
These roles are listed here for quick review. Each card opens the full external role page with the latest description and application flow.
Software Engineering & Technology
Flutter Developer — Lead
Lead Flutter delivery across Android and iOS apps, bringing together state management, native integrations, Firebase, APIs, testing discipline, and code quality.
FlutterDartiOSAndroidFirebaseREST APIs
View role details →Senior Software Engineer — iOS + Backend
Build consumer-facing iOS experiences and resilient backend services, with ownership across architecture, APIs, data stores, cloud, CI/CD, and production reliability.
SwiftNodeJS / GoLangNoSQLREST / GraphQLAWSCI/CD
View role details →MERN Stack Developer — Lead
Lead scalable MERN application delivery across customer experience solutions, REST APIs, cloud-aware architecture, performance, security, and technical guidance.
React.jsNode.jsExpress.jsMongoDBREST APIsCloud platforms
View role details →Flutter Developer
Build robust Flutter apps across Android and iOS, with attention to state management, native behavior, REST integrations, testing, performance, and code hygiene.
FlutterDartiOSAndroidREST APIsMVP / MVVM / MVC
View role details →Openings may change as roles are filled or added. Use the role page for the latest requirements and application status.