Staff, AI Enablement and Innovation Job at Gong (Austin)

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Staff AI Embedded Software Engineer - Connected Devices

As a Staff Embedded Software Engineer, you will lead critical software engineeri...

Location

United States , Seattle; Boston; Scottsdale

Salary:

168750.00 - 270000.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

12+ years of professional software development experience, with extensive expertise in C/C++, Go, Python, or comparable systems programming languages, including significant experience building AI- and data-intensive systems
Deep, demonstrated expertise in embedded systems architecture, firmware integration, and device-level software engineering, combined with hands-on experience deploying and optimizing AI inference workloads on constrained edge platforms (MCUs, SoCs, NPUs)
Proven experience designing, training, and operating machine learning models at scale, including ownership of data pipelines, model evaluation, and iterative improvement in production environments
Practical experience with large-scale AI systems, including foundation models and LLMs, such as fine-tuning, adaptation, or integration into real-world products
Proven track record of addressing and resolving system-wide challenges in performance, scalability, reliability, security, and safety across AI-enabled and mission-critical systems
At least 7+ years mentoring senior engineers and leading complex, strategic engineering initiatives across multiple teams, including setting technical direction for AI-enabled products
Advanced understanding of computer science fundamentals, data structures, algorithms, and high-standard software design practices, applied to both embedded and large-scale AI systems
Experience with networking and distributed system concepts relevant to connected and AI-enabled devices

Job Responsibility

Define and significantly advance embedded software architectures for Axon’s current and future connected device products, including AI-enabled systems spanning on-device inference and cloud-assisted workflows
Lead the technical direction for AI-enabled capabilities across connected devices, including collaboration on large-scale model training, data strategy, deployment, and iterative improvement in production, across multiple product lines
Partner with research, product, and platform teams to explore and integrate emerging AI approaches, including foundation models and multimodal systems, shaping Axon’s medium and long-term AI strategy for connected devices
Establish and enforce Axon-wide standards for embedded software and AI system design, including reliability, scalability, safety, observability, and lifecycle management
Identify and mitigate risks associated with AI systems, including model failure modes, data drift, and operational edge cases, and drive architectural decisions that ensure safe and reliable behavior in real-world conditions
Provide executive-level guidance and mentorship, significantly enhancing the capabilities and technical decision-making of the embedded software engineering teams
Continuously improve software engineering practices and drive excellence through strategic retrospectives, planning sessions, and innovation cycles

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Sr Staff Program Manager- AI Strategy & Governance Lead, Finance Technology

The AI Strategy & Governance lead for Finance will be a pivotal leader within th...

Location

United States , San Francisco

Salary:

212000.00 - 235500.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's degree in Finance, Accounting, Business, or a related field, or equivalent practical experience
Significant experience in a strategic role within a corporate finance department or in management consulting with a focus on digital enablement and AI
Exceptional communication, presentation, and storytelling skills, with a proven ability to influence and inspire at all levels of an organization
Demonstrated experience leading large-scale, cross-functional programs and managing relationships with senior-level stakeholders
AI power user with a passion for emerging technology and a strong, informed perspective on the application of AI and Gen AI in the finance domain

Job Responsibility

Work with Finance Technology leaders to develop and communicate the comprehensive AI vision and strategy for the Finance organization
Translate complex AI concepts and the finance AI strategy into clear, compelling narratives for executive leadership
Act as the primary liaison to company Gen AI Steering Committees
Lead the AI champion forum, a cross functional team of Finance tech forward thinkers
Prepare and deliver high-impact presentations and reports on AI initiatives
Manage all aspects of communication related to AI and digital enablement for the Finance Technology area
Organize and lead strategic AI in Finance meetings
Coordinate all content and presentations for AI-related forums
Establish and manage a systematic process to source, evaluate, and prioritize AI use cases
Manage governance framework with executive leaders to facilitate resource and funding needs

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Staff Product Security Engineer

As a Staff Product Security Engineer, you will play a crucial role in safeguardi...

Location

France , Paris

Salary:

Not provided

Dashlane

Expiration Date

Until further notice

Requirements

Strong understanding of application security best practices, including experience with threat modeling and risk assessments
Demonstrated experience building or improving an SDLC program
Familiarity with CI/CD pipelines and their security implications
Familiarity with cloud infrastructure (e.g., AWS, Azure, Kubernetes), and Infrastructure-as-Code (e.g., Terraform)
Interest in enabling secure use of AI tools to drive efficiency, creativity, and impact internally
Communication & Collaboration: You engage and listen empathetically to others, adjusting your communication style to fit the audience and message. You are experienced in communicating with technical and non-technical audiences
Mentoring: You enjoy using your knowledge and experience to support and uplevel those around you
Motivated Learner: You learn new technologies and processes quickly, and understand where to look for knowledge when you need it
Adaptability: You are a jack or jane of all trades - you’re comfortable digging into non-technical parts of the business to provide security support and guidance

Job Responsibility

Drive the continuous improvement of Dashlane’s security program across the product and company
Conduct architecture design reviews, threat modeling, and technical security assessments of Dashlane’s product (application and infrastructure) to identify security risks and provide mitigation guidance
Ensure security best practices are integrated throughout the software development lifecycle (SDLC)
Build upon and scale Vulnerability Management to ensure the team can track, analyze, and manage vulnerabilities and their remediation
Perform risk assessments of Dashlane’s internal systems, environments, assets, and data, and implement security best practices accordingly
Evaluate and implement security tooling and/or build customized tooling in-house where necessary
Participate in Compliance and Incident Response
Innovate and propose new forward-looking security features that protect Dashlane and our users

What we offer

Equal Parental leave - regardless of gender, up to 20 weeks fully paid leave to take care of their new baby, within the first year of birth or adoption
Health insurance covered by Dashlane
Mentorship program - select your mentor from our internal pool and continue your learning path!
Commute allowance
Meal Vouchers (Swile)
Mental health services through Spring Health for you and family members
4 extra days off (one per quarter) to acknowledge the importance of your wellbeing
Spot in daycare
Time off saving account
Donation matching program - give back to the community and support actions that lead to positive social impact under the historically marginalized communities. Every donation will be matched by Dashlane

Fulltime

Staff Application Engineer, Workplace Technology

The role is part of the IT Function within the broader Mozilla Infrastructure te...

Location

United States; Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

7–10 years of software engineering or automation experience, including experience building scalable systems, integrations and agentic workflows in enterprise environments
Strong software design and development skills in Java, Go, Python, JavaScript/TypeScript (or Apps Script), or equivalent languages
experience with building production-ready services and agentic systems
Deep experience integrating SaaS platforms (collaboration tools, identity systems) using APIs, SDKs, event-driven architectures, and building automation/agent orchestration layers
Familiarity with IAM/SSO (Okta, SAML/OIDC/SCIM), lifecycle automation and securing access across humans and agents
experience embedding governance into automation flows
Proven ability to design for reliability, security, scalability and cost-efficiency
strong experience with observability, metrics and monitoring frameworks for automated/agentic services
Demonstrated ability to lead the technical direction of automation and agentic workflows: build shared libraries, connectors, guide architecture, mentor others, influence cross-team engineering culture
Experience or willingness to work with GenAI/LLM modalities (agent design, prompt management, retrieval + RAG, integrations) and build operational patterns around them (e.g., agent orchestration, trust, guardrails)

Job Responsibility

Architect, develop, and scale automation frameworks, integrations and agentic workflows across Mozilla’s workplace technology ecosystem — including collaboration tools, identity systems (SSO/IAM), and GenAI platforms (OpenAI, Claude, Gemini)
Lead end-to-end engineering of lifecycle workflows (onboarding, off-boarding, access provisioning) using APIs, event-driven architectures and intelligent agentic flows that reduce manual touchpoints and accelerate user access
Build and maintain reusable libraries, connectors, SDKs and agent orchestration layers (e.g., virtual assistants, workflow agents, RAG + retrieval pipelines) that enable faster, safer AI-enabled productivity at scale
Implement observability for agentic workflows and automations: define metrics (SLIs/SLOs), build dashboards, logging, alerts and proactively tune for reliability, security, cost-efficiency and adoption
Partner with Security, Legal, and Privacy to embed DLP, data classification, and least-privilege access into automation and AI flows — ensure agentic capabilities respect governance, auditing, and compliance
Lead evaluation, technical design, and production deployment of new tools and AI productivity platforms: architect integrations, define guardrails, pilot agentic features, measure adoption and user impact
Mentor junior engineers and facilitate collaboration across teams: review design/code, establish best practices for building agentic systems, guide documentation and champion a shared automation culture
Collaborate cross-functionally with IT, Security, Finance, People Ops and Workplace/Facilities to deliver secure, efficient, and scalable internal tools and workflows that empower users and optimize operations
Drive innovation through prototyping next-gen agentic services (for example: intelligent enterprise search assistants, document-to-action bots, contextual collaboration agents) to increase productivity and reduce friction

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Staff Application Engineer, Workplace Technology

The role is part of the IT Function within the broader Mozilla Infrastructure te...

Location

United States; Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

7–10 years of software engineering or automation experience, including experience building scalable systems, integrations and agentic workflows in enterprise environments
Strong software design and development skills in Java, Go, Python, JavaScript/TypeScript (or Apps Script), or equivalent languages
experience with building production-ready services and agentic systems
Deep experience integrating SaaS platforms (collaboration tools, identity systems) using APIs, SDKs, event-driven architectures, and building automation/agent orchestration layers
Familiarity with IAM/SSO (Okta, SAML/OIDC/SCIM), lifecycle automation and securing access across humans and agents
experience embedding governance into automation flows
Proven ability to design for reliability, security, scalability and cost-efficiency
strong experience with observability, metrics and monitoring frameworks for automated/agentic services
Demonstrated ability to lead the technical direction of automation and agentic workflows: build shared libraries, connectors, guide architecture, mentor others, influence cross-team engineering culture
Experience or willingness to work with GenAI/LLM modalities (agent design, prompt management, retrieval + RAG, integrations) and build operational patterns around them (e.g., agent orchestration, trust, guardrails)

Job Responsibility

Architect, develop, and scale automation frameworks, integrations and agentic workflows across Mozilla’s workplace technology ecosystem — including collaboration tools, identity systems (SSO/IAM), and GenAI platforms (OpenAI, Claude, Gemini)
Lead end-to-end engineering of lifecycle workflows (onboarding, off-boarding, access provisioning) using APIs, event-driven architectures and intelligent agentic flows that reduce manual touchpoints and accelerate user access
Build and maintain reusable libraries, connectors, SDKs and agent orchestration layers (e.g., virtual assistants, workflow agents, RAG + retrieval pipelines) that enable faster, safer AI-enabled productivity at scale
Implement observability for agentic workflows and automations: define metrics (SLIs/SLOs), build dashboards, logging, alerts and proactively tune for reliability, security, cost-efficiency and adoption
Partner with Security, Legal, and Privacy to embed DLP, data classification, and least-privilege access into automation and AI flows — ensure agentic capabilities respect governance, auditing, and compliance
Lead evaluation, technical design, and production deployment of new tools and AI productivity platforms: architect integrations, define guardrails, pilot agentic features, measure adoption and user impact
Mentor junior engineers and facilitate collaboration across teams: review design/code, establish best practices for building agentic systems, guide documentation and champion a shared automation culture
Collaborate cross-functionally with IT, Security, Finance, People Ops and Workplace/Facilities to deliver secure, efficient, and scalable internal tools and workflows that empower users and optimize operations
Drive innovation through prototyping next-gen agentic services (for example: intelligent enterprise search assistants, document-to-action bots, contextual collaboration agents) to increase productivity and reduce friction

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Principal Architect – GenAI & Enterprise Automation

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Typically 10+ years' experience
Experience designing and developing software systems design tools and languages
Experience in overall architecture of software systems for products and solutions
Designing and integrating software systems running on multiple platform types into overall architecture
Evaluating and selecting forms and processes for software systems testing and methodology
History of innovation with multiple patents or deployed solutions in the field of software design
Excellent written and verbal communication skills
mastery in English and local language
Deep expertise in Copilot, Azure OpenAI, Power Platform, and LLMs

Job Responsibility

Develops organization-wide architectures and methodologies for software systems design and development
Identifies and evaluates new technologies, innovations, and outsourced development partner relationships
Reviews and evaluates designs and project activities for compliance with development guidelines and standards
Provides guidance and mentoring to less-experienced staff members
Integrate with organizational data and workflows for Copilot
Establish Prompt Engineering Frameworks with Copilot
Enable custom Copilots with internal knowledge, fine-tuned LLMs, and responsible usage practices
Enable Agentic Automation with Federated Governance model
Lead scalable automation through reusable components, design principles, and CoE enablement
Create accelerators, secure connectors, and templates to maximize reuse

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Principal Scientist – Synthetic Separations

Amgen is seeking a highly motivated Senior Principal Scientist for their Discove...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Ph.D. in Chemistry, Analytical Chemistry, or related field with 8+ years of relevant experience, or M.S. with 12+ years of relevant experience in analytical or discovery chemistry within the biopharmaceutical industry
PhD in Analytical Chemistry or a related discipline with 8+ years of relevant industry experience in chromatographic analysis and/or purification of small molecules within a pharmaceutical R&D environment
Minimum of 5 years in a leadership or people management role
Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, HRMS, and related techniques) for purity assessment, structural confirmation, quantitative analysis, and reaction monitoring of synthetic compounds
Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, etc.) for purity assessment, structural confirmation, and reaction monitoring of synthetic compounds
Design, qualify, and maintain high-throughput or automated analytical workflows to support medicinal chemistry cycles
Collaborate with cross-functionally digital and automation groups to enable data-driven analytics and AI-supported structure prediction
Drive continuous improvement in analytical workflows and laboratory efficiency through process automation and robotics
Excellent written and verbal communication skills
Prepare concise, high-quality reports and presentations for internal review and external disclosure

Job Responsibility

Lead analytical strategy and execution for drug discovery-stage projects, enabling medicinal chemistry and early candidate selection through deep expertise in analytical and separation sciences
Bridge synthetic and analytical chemistry, ensuring rapid, reliable characterization of novel compounds and intermediates that drive Amgen’s small molecule discovery pipeline
Lead and manage the Synthetic Separations group, providing strategic direction, technical leadership, and mentorship to staff while prioritizing workloads, optimizing team performance, and serving as both a people manager and subject matter expert in synthetic separations
Design and qualify automated workflows enabling rapid turnaround and consistent data quality for purification and analysis of diverse compound libraries
Utilization of a diverse set of instruments and technologies, such as (but not limited to) HPLC, SFC, MS, mass-directed purification, and preparative-scale SFC and LC is necessary
Lead library purification efforts across multiple scales, ranging from microgram-level purification of screening compounds to hundreds of milligrams for advanced characterization
Assist in research efforts directed at improving process efficiencies, expanding the range of assays and applications, building state-of-the-art analytical capabilities, and improving technologies and infrastructure

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer at Aignostics, you will play a crucial role...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Advanced degree in a relevant field or extensive work experience
8+ years of industry experience, with at least 2 years as Staff Engineer or an equivalent role
Proven track record of driving technical excellence and innovation
Solid background in data-intensive systems and software architecture, design patterns and clean coding
Expert Python programming and fluency in C/C++ or other low-level language(s)
Experience with designing and implementing large-scale, distributed ML systems and platforms
Proven track record of deploying ML models into production environments
Strong knowledge of machine learning fundamentals
Experience with deep learning frameworks (e.g. Pytorch and Tensorflow) and state-of-the-art techniques (e.g. generative models)
Deep understanding of cloud technologies (e.g. GCP, AWS), containerization and orchestration (Kubernetes)

Job Responsibility

Define and drive the technical architecture and system design principles for our AI platform and infrastructure
Work in close collaboration with engineering leads to build flexible frameworks and systems for model training, evaluation and inference across different pathology applications
Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies, while ensuring alignment with our technical vision
Foster technical alignment across teams by establishing shared architectural principles and best practices, facilitating cross-team design reviews to enable consistent decision-making across domains
Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt while measuring and improving our technical health metrics
Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines that enable teams to make better design decisions
Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments that advance our engineering capabilities while ensuring measurable business value

What we offer

Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports and well-being
Enjoy our social gatherings, lunches and off-site events for a fun and inclusive work environment

Staff, AI Enablement and Innovation

Gong

Location:
United States , Austin ▼
Chicago
New York City
Salt Lake City
San Francisco

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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