Own the ongoing technical relationship with enterprise customers, driving value, retention, and adoption of Braze’s platform.
Compensation
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $90,000 and $130,500/year with an expected On Target Earnings (OTE) between $102,000 and $145,000/year (including bonus or commission).
Responsibilities
Own the technical relationship throughout the customer lifecycle
Drive value, retention, and adoption of Braze’s product
Partner with Customer Success to own technical relationship for assigned accounts
Help customers instrument Braze across their stack
Facilitate conversations on desired use cases and recommend solutions
Technical Product Manager (P3) to help turn product strategy into clear, well-executed product delivery, owning specific product features or workstreams under the guidance of a Sr Technical Product Manager.
Compensation
Because this role is open across the United States and can be based anywhere our team members work from, the salary range reflects that geographic breadth: $126k - $170k
Some example salaries for specific locations are below:
NYC: $148k - $170k
Chicago: $126k - $145k
Responsibilities
Own delivery coordination for specific product features, epics, or workstreams
Translate Sr TPM intent into clear user stories, jobs-to-be-done, acceptance criteria, and definitions of done
Maintain Jira epics, tasks, acceptance criteria, and delivery status
Keep systems of record accurate and current (Notion, Jira, Productboard)
Support backlog refinement, sprint-ready sequencing, and release readiness activities
Forward Deployed Engineers are Labelbox’s technical and commercial front line inside our largest enterprise customers. You work directly with business and technical leaders to understand how their business actually runs: the processes, use cases, and workflows where AI can change outcomes. Then you design and build the solution, using the Labelbox data annotation platform and the Recursion Managed Agent platform, with a focus on agentic workflows that put AI agents and humans in the loop to run real operations.
Compensation
The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range
$190,000—$230,000 USD
Responsibilities
Work side by side with customers to identify and map their business processes, use cases, and workflows, and define the measurable outcomes they want to achieve
Propose, demonstrate, and develop solutions built on Labelbox’s products and services, especially the data annotation platform and Recursion Managed Agent, designing agentic workflows that automate and augment core enterprise processes
Sell the vision: present compelling solution proposals, run technical demos and proofs of concept, and build the business case for executive sponsors and buying committees
Partner with Account Executives to win new enterprise business, identify expansion opportunities, and accurately forecast renewals
Build trusted advisor relationships with customer stakeholders and executive sponsors, and tie every engagement to business value and ROI
Bright Vision Technologies is seeking a Generative AI Engineer to design and develop applications powered by large language models and other generative models.
Locations (2)
Irving, Texas, United States
Las Colinas, Texas, United States
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Build generative AI application components using approved foundation models, model APIs, and orchestration frameworks.
Develop retrieval-augmented generation workflows using document ingestion, chunking, embeddings, and vector retrieval.
Design prompts, structured outputs, tool integrations, and conversation workflows for defined application use cases.
Create evaluation datasets and assess answer quality, relevance, hallucination risk, latency, and cost.
Integrate AI capabilities with enterprise systems and implement logging, monitoring, fallback, and feedback mechanisms.
Responsable de diseñar, desarrollar e implementar soluciones de software y sistemas de integración para lograr una conectividad eficiente entre diferentes sistemas empresariales.
Compensation
“PATRONO CON IGUALDAD DE OPORTUNIDAD DE EMPLEO Y ACCION AFIRMATIVA PARA MUJERES, MINORIAS, VETERANOS Y PERSONAS CON DISCAPACIDAD”
Responsibilities
Desarrollar aplicaciones web completas, abarcando desde el diseño del front-end hasta la implementación del back-end
Crear interfaces de usuario atractivas y funcionales utilizando tecnologías como HTML, CSS y JavaScript
Implementar la lógica del servidor y la gestión de la base de datos mediante Python y PL/SQL
Desarrollar e implementar soluciones de integración de datos entre sistemas y aplicaciones utilizando SSIS
Realizar pruebas unitarias y de integración para asegurar la calidad y estabilidad del código
Requirements
BA - Informática, Ingeniería de software o Tecnología de la información
Welding & Coating Inspector requiring dual certifications for both Welding Inspector and Coating Inspector roles.
Responsibilities
Perform duties as designated by the Chief Inspector in conformance with client’s specifications
Prepare and maintain daily reports, qualified & disqualified welders list, welder qualification record, and weld log
Review client’s specifications and procedures to ensure Third-Party Contractor compliance
Work with client and Third-Party Contractors to complete necessary work
Requirements
Formal education in corrosion control from NACE International (NACE) with an active minimum certification level equivalent to NACE Corrosion Technologist or NACE Cathodic Protection Technician
Formal education in corrosion control from Appalachian Underground Corrosion Short Course with evidence of successfully passing Basic, Intermediate, and Advanced Courses
L’objectif du stage est d’explorer le potentiel de l’Agentic AI dans la conception digitale, avec la mise en place d’une base technique réutilisable pour de futures intégrations.
Responsibilities
Réaliser un état de l’art sur l’Agentic AI appliquée au design électronique et aux flows de développement
Identifier des cas d’usage concrets dans les environnements de conception digitale
Etudier les possibilités d’interfaçage entre des LLM, des outils EDA et des composants d’orchestration tels que des MCP servers ou équivalents
Proposer une architecture générique, indépendante du fournisseur, compatible avec des modèles internes ou externes
Développer un prototype / socle expérimental permettant de tester l’intégration entre agents IA, outils de design et automatisation de tâches
Requirements
dernière année de master ou école d’ingénieur
Nice to have: Frameworks IA
Nice to have: Développement d’outils connectés aux environnements logiciels
Lead the ideation, design, and development of patient data platforms for LillyDirect Pharmacy, ensuring trusted patient records across pharmacy and digital health experiences.
Compensation
$129,000 - $189,200
Responsibilities
Own prioritization of product backlogs across Patient Data products
Translate business needs into technical requirements and user stories
Drive technical design reviews and end‑to‑end delivery of patient data integrations
Plan, configure, and test solutions using SQL, Python, and Databricks notebooks
Define and lead the future‑state patient data strategy
Requirements
Bachelor's degree in Computer Science, Information Technology or related area
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