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

Staff AI Engineer

As the staff engineer in our new Generative AI department, you will define the t...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

10+ years in backend software development, with a passion for AI and language technologies
Proven track record of delivering major impact
Proficiency in Python, Typescript or Javascript
Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems
Experience in vector databases
A relevant degree in Computer Science, Mathematics or related fields

Job Responsibility

Spearhead the creation of AI solutions to enable growth and drive internal efficiency across the business
Design and implement robust API and system architecture for new AI applications
Assist in AI application roadmapping and strategy
Collaborate effectively with a diverse, cross-functional team to leverage existing AI technologies, and research and implement new ones, to meet product goals
Providing prompt and effective solutions or workarounds in response to application issues or software bugs, maintaining high client satisfaction
Embrace the challenges of a fast-paced, high-growth environment with a focus on innovation

Fulltime

Staff AI Engineer

As we work towards building out the Context Layer for the Agentic Enterprise, we...

Location

United States , Palo Alto

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field
7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields
Strong proficiency in Python
Hands-on experience with search engines (Opensearch or Elasticsearch)
Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)
Experience with text processing, NLP, and relevance tuning
Experience with relevance evaluation metrics (NDCG, MRR, MAP)
Experience with large-scale distributed systems
Proficiency in Knowledge Graph construction and optimization is a plus
Strong analytical and problem-solving skills

Job Responsibility

Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent
Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback
Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval
Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing
Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data
Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods
Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning
Collaborate with product and applied research teams to translate user needs into data-informed search innovations
Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack

What we offer

vibrant and dynamic work environment
multitude of benefits they can enjoy inside and outside of their work lives

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

Senior Staff Software AI Test Engineer- Prisma SASE

We are seeking Test Engineers with a strong Automation First Mindset as we scale...

Location

United States , Santa Clara

Salary:

126000.00 - 204500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Automation skills - Python, Playwright
Experience with building automation frameworks and leading the automation effort for the team
Working Knowledge of CI/CD pipelines
Experience with Cloud Technologies such Aws/Azure/GCP
Knowledge of common security related protocols and their design (i.e. SSH, IPsec,TCP/IP, DNS, TLS, SSL etc.)
Demonstrated ability to learn quickly and to work in a fast paced, innovative environment learning new technologies and multi-tasking
8+ years of experience
Bachelor’s Degree OR Master in Computer Science/Engineering/Networking or equivalent military experience required

Job Responsibility

Develop and execute sophisticated software tests and frameworks to validate Prisma SASE Functionality and Scale, working closely with Development, Product Management, SRE and Technical Marketing teams
Provide Thorough Technical Leadership in the areas of Cloud Based Orchestration, Cloud delivered Security, Cloud Networking and Automation Design
Participate in system design so that Quality Assurance is considered throughout the entire lifecycle of the Prisma Access Feature Development
Develop and/or Enhance Automated test Infrastructure to enable building Scalable & Flexible tests that reflect real world network deployment scenarios
Enhance Test strategies, Automation & Build infrastructure with feedback and analysis from real-world Customer deployments

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

Senior Staff Machine Learning Engineer – Moonshot AI

The Moonshot AI team sits within Uber AI Solutions where we are building an ente...

Location

United States , Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years of industry experience developing and shipping production machine learning models
Ph.D., MS, or Bachelor's degree in Computer Science, Machine Learning, or a closely related discipline
Proven track record of technical leadership on large-scale ML initiatives with measurable business impact
Deep expertise across multiple areas: Computer Vision, Natural Language Processing, Deep Learning, and Generative AI
Strong proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and programming languages
Extensive experience with distributed training infrastructure, large-scale model development, and ML platform design
Demonstrated ability to collaborate with product, engineering, and data science leadership on technical roadmaps and strategic priorities
Excellent problem-solving abilities with deep ML methodology expertise

Job Responsibility

Shape the technical vision and roadmap for Moonshot AI's ML initiatives
Architect foundational ML platforms and systems for marketplace optimization and annotation automation
Drive end-to-end ML solutions from conception through production deployment
Lead GenAI innovation: design and implement cutting-edge systems using custom SLMs, computer vision, and LLMs
Advance AI research capabilities: establish research direction, design benchmarks, contribute to research and publications
Build industry-leading evaluation frameworks: architect LLM-as-Judge systems and automated quality assessment platforms
Provide technical leadership across Uber AI Solutions
Mentor and develop engineering talent
Enable cross-functional impact

What we offer

Bonus program
Equity award & other types of comp
401(k) plan
Various benefits

Fulltime

Senior Software Engineer

About this role: Wells Fargo is seeking a Senior Software engineer.We are lookin...

Location

India , Hyderabad

Salary:

Not provided

Wells Fargo

Expiration Date

Until further notice

Requirements

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
4–8+ years of software engineering experience
3–5+ years of hands-on ServiceNow ITSM development
Proven experience with AI/ML-enabled automation or analytics solutions
Strong expertise in ServiceNow ITSM modules
JavaScript (server-side & client-side)
ServiceNow scripting APIs
Experience with Predictive Intelligence / Virtual Agent
Flow Designer, IntegrationHub

Job Responsibility

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Design, develop, and implement solutions across ServiceNow ITSM modules (Incident, Problem, Change, Request Management)
Customize applications using Business Rules, Client Scripts, UI Policies & Actions, Script Includes, Flow Designer / Workflow Editor
Build and maintain Service Catalog items, workflows, and automations

Fulltime

New

Customer Success Architect - AI Business Process Solutions

The Customer Success Architect (CSA) for AI Business Process Solutions helps ent...

Location

Singapore , Singapore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience. Experience must include hands-on delivery with Microsoft business-applications and low-code/agent platforms — Dynamics 365 Customer Engagement, Power Platform, and Copilot Studio or Azure AI Foundry — including demonstrated hands-on agent building.
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
4+ years experience working in a customer-facing role (e.g., internal and/or external).
4+ years experience working on technical projects.
Technical Certification in Microsoft Cloud Technologies (e.g., Azure, AI, Power Platform, D365 and security certifications).
Demonstrated experience building, testing, and deploying agents in Copilot Studio and/or Azure AI Foundry.
Hands-on delivery experience with Dynamics 365 Customer Engagement and/or Power Platform (Power Apps, Power Automate, Dataverse).
Relevant Microsoft certifications such as PL-600 (Power Platform Solution Architect), PL-200, the Dynamics 365 / MB-series, and AI-102.

Job Responsibility

Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking).
Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction.
Proactively manages business and technical risks, adapts methodology and applies governance principles to identify, communicate, and minimize business and technical risks.
Executes work in compliance with industry and Microsoft guidelines and procedures.
Continuously prioritizes among competing demands in their work and identifies where impact occurs with customers, ensuring alignment with business priorities and goals.
Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare customers for operational readiness and achievement of their business goals and targets.
Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage.
Guides customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities.
Provides feedback to Unified Delivery Team on VBDs to refine and further develop content.
Proactively identifies new opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the Microsoft value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation.

Fulltime

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Staff, AI Enablement and Innovation

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