Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the Role:  

Planet’s Professional Services team helps our Defense and Intelligence (D&I) customers adopt the Planet Platform and rapidly realize return on investment in Planet data and analytics. The Professional Services Global D&I team is looking for a Solutions Architect responsible for the implementation, integration, and analysis of new software and data products that extend the Planet Platform and deliver new capabilities to our strategic D&I customers. In this role, you will be embedded with our customer to train users on Planet products, translate requirements, design workflows, and communicate with Planet’s product team on mission critical capabilities. Your work will be highly visible, directly impacting customers' ability to quickly access Planet's unprecedented datasets, as well as streamline the internal processes for adding new customers to our platform. Ideal candidates will be excited about Planet’s mission.

This is a full-time, in-office position based in one of our strategic customer locations 5 days a week, in Abu Dhabi, UAE. This position is contingent upon award.

Impact You’ll Own:

• Understand clients’ needs and deliver tailored solutions
• Break down ambiguous, high-stakes problems into clearly defined, solvable components
• Leverage analytical skills to deliver products to our D&I customers and support mission requirements
• Design workflows, defining data models, configuring integrations, and helping define tooling that aligns to the customer’s mission.
• Train users, iterate with them in real time, and ensure that Planet solutions become mission-critical to daily operations.
• Translate operational requirements into actionable product feedback for Planet’s engineering teams. 
• Communicate technical capabilities back to customers in clear, mission-focused language.
• Rapidly prototype, test, and adjust workflows to match real operational needs.
• Mapping out high-level strategy with decision makers by sitting next to analysts to debug workflows.
• Work closely with customer teams to understand their workflows, pain points, and mission priorities.

What You Bring:

• Bachelor’s degree in Computer Science, Software, Systems Engineering, or similar 
•  4+ years of experience in supporting D&I customers, with specialized technical experience in the general areas of systems integration
• Fluent in Golang, Python, Postgresql, & React or related technologies
• Experience with cloud deployments; GCP, AWS, Azure
• Solid problem-solving and systems thinking skills
• Exceptional communication and stakeholder management
• Ability to quickly learn new technical domains and tools
• Comfortable operating in ambiguous, high-pressure environments
• Deep curiosity and willingness to dive into operational details
• Fluency in translating between technical and non-technical audiences
• Experience with solving complex problems through analytical skills
• Experience scaling and maintaining production systems

What Makes You Stand Out:

• Experience working with defense and intelligence organizations in the UAE
• Systems integrations experience working with multi domain/multi-level security architectures, particularly the Defence and Intelligence.
• Working knowledge of JavaScript and its mapping libraries (OpenLayers, Leaflet, ArcGIS API for JavaScript), Google Earth Engine and it’s SDK
• Experience with RDBMS (PostgreSQL, SQL) and distributed databases (NoSQL)
• Experience in geopolitics and data science
• Ability to pick up new technologies quickly
• Experience with building analytical products from complex datasets
• Experience with geospatial technologies and data
• GEOINT experience, imagery exploitation and analysis
• Fluent in multiple languages

Application Deadline: February 20th, 2026 at 11:59PM PST

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

#LI-REMOTE

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

We are supporting a venture-backed, early-stage technology company building a white-label consumer engagement and rewards platform for global brands. The platform enables large-scale fan and customer experiences (e.g. predictions, quests, digital rewards, ticketing and commerce) while incorporating tokenised settlement and rewards infrastructure.

This role represents a true greenfield build. The Founding CTO will define the overall system architecture, technical standards, and engineering culture from day one, while delivering a production-grade platform designed to scale to millions of users.

As Founding CTO, you will take end-to-end ownership of the technology organisation, from initial architecture and hands-on development through to team build-out and long-term technical strategy.

You will work closely with founders and commercial stakeholders, translating product vision into scalable systems and ensuring the platform can support multiple partners, brands, and regions.

Responsibilities

• Platform & architecture
• Define and build the core platform architecture supporting engagement mechanics, rewards, commerce, and analytics
• Establish system design principles covering scalability, security, and performance
• Make key build-vs-buy decisions and select vendors, tooling, and infrastructure partners
• Backend & infrastructure
• Architect and implement backend services supporting real-time event ingestion, points/wallet systems, identity, and compliance controls
• Design robust data pipelines, storage, and API layers
• Own production readiness, including monitoring, alerting, SLOs, and incident response processes
• Consumer products
• Oversee development of mobile (iOS/Android) and web applications delivered under partner branding
• Ensure high-quality user experience across consumer touchpoints
• Token & rewards infrastructure
• Lead design and integration of tokenised reward systems, including smart contracts and distribution logic
• Manage wallet integrations and fiat on/off-ramps in collaboration with external providers
• Integrations
• Build and maintain APIs connecting to external data feeds, ticketing systems, commerce platforms, and sponsor tools
• Leadership & team
• Hire, mentor, and scale a high-performing engineering team
• Establish engineering standards, documentation practices, and development workflows
• Act as a hands-on technical leader while progressively transitioning to strategic oversight

Qualifications

• 8+ years of experience building consumer-facing technology products
• Proven experience delivering at least one 0-to-1 platform
• Track record of shipping and operating products at scale (100K+ users)
• Strong backend engineering background (distributed systems, real-time data, API design)
• Experience designing production-grade systems with high reliability requirements
• Comfortable working across frontend, backend, and infrastructure layers
• Strong written and verbal communication skills (architecture docs, technical strategy, roadmap planning)

Strongly preferred

• Experience with loyalty, gaming, or marketplace-style mechanics (e.g. rewards, auctions, prediction-style systems)
• Familiarity with blockchain or tokenised systems (smart contracts, wallets, settlement flows)
• Background in security-sensitive or compliance-aware systems
• Experience building white-label or multi-tenant platforms

Technical environment (current / planned)

• Languages: TypeScript/JavaScript, Node.js, Python; Go or Rust exposure is a plus
• Mobile: React Native or Flutter; native iOS (Swift) / Android (Kotlin) experience advantageous
• Infrastructure: Cloud-native (GCP), Docker/Kubernetes, CI/CD pipelines
• Data: PostgreSQL, Redis, event streaming (Kafka or equivalent)
• Web3 exposure: Solidity fundamentals, wallet integrations, token mechanics

• Design, implement, and own end-to-end ETL/ELT pipelines (batch and streaming) from ingestion to feature delivery.
• Model financial datasets and define schemas, partitioning, indexing, and SLAs for analytical and real-time use cases.
• Operate and optimize OLTP/OLAP, search, and vector stores; tune performance, cost, and reliability.
• Build data quality checks, lineage, and observability; automate testing and deployment of pipelines.
• Collaborate with Quant/AI teams to productionize new data sources and features.

• Advanced SQL; strong experience with MySQL and PostgreSQL.
• Proficient with non-relational and vector databases: MongoDB, Elasticsearch, Chroma (or similar).
• Production experience with data layers on AWS / Azure / GCP (e.g., S3/GCS/ADLS, Redshift/BigQuery/Synapse, Glue/Dataproc/Data Factory).
• Have built ETL/ELT pipelines end-to-end (orchestrated, monitored, and supported in production).
• Familiar with financial data schemas and data modeling (tick/trade/quote, fundamentals, alternative data, vendor formats).

At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:

• Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
• Comprehensive health benefits – Full health insurance coverage for employees and dependents.
• Daily meals provided – Enjoy free lunch at the office.