Location: Palermo, Italy
Are you a health professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have an allied health background or previous experience as a Physical Therapist, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology over 10,000 clients in over 100 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with 5 offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in Palermo or surrounding.
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
Monthly fitness and wellness allowance.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Background Check
Successful applicants will be subject to background checks (including identity and criminal record checks).
Location: Wuhan, China
Are you a Physical Therapist or Strength and Conditioning coach thinking about a career change? Are you passionate about how technology can help progress your profession? If you have previous experience as a Physical Therapist or Strength and Conditioning Coach, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to 10,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in Wuhan.
You speak Mandarin/Cantonese and English (please submit your application in English).
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Background Check
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: Shenzhen, China
Are you a Physical Therapist or Strength and Conditioning coach thinking about a career change? Are you passionate about how technology can help progress your profession? If you have previous experience as a Physical Therapist or Strength and Conditioning Coach, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to 10,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in Shenzhen.
You speak Mandarin/Cantonese and English (please submit your application in English).
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Background Check
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: Shanghai, China
Are you a Physical Therapist or Strength and Conditioning coach thinking about a career change? Are you passionate about how technology can help progress your profession? If you have previous experience as a Physical Therapist or Strength and Conditioning Coach, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to 10,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in Shanghai.
You speak Mandarin/Cantonese and English (please submit your application in English).
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Background Check
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: Taipei, Taiwan
Are you a Physical Therapist or Strength and Conditioning coach thinking about a career change? Are you passionate about how technology can help progress your profession? If you have previous experience as a Physical Therapist or Strength and Conditioning Coach, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to 10,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in Taipei.
You speak Taiwanese and English (please submit your application in English).
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Background Check
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: APAC
About the Role
OKX is looking for a Senior Director of AI to lead both people and product — building and managing a high-calibre AI team while staying deeply involved in the design, evaluation, and production deployment of autonomous agent systems. This role calls for a leader who leads by doing: technically grounded, sharp on product judgment, and able to translate both into tangible business outcomes.
What You'll Do
Team Leadership
— Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function
Agent Product Delivery
— Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations
Eval-Driven Development
— Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems
Agent Harness Design
— Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios
LLM
Orchestration
— Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control
Engineering Workflow Integration
— Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value
Cross-functional Alignment
— Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities
What We're Looking For
Must-have
Master's or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred)
10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies
Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas
Proven track record of translating AI capabilities into measurable business outcomes
End-to-end delivery experience with autonomous AI Agent products, from inception and architecture through to production operations
Hands-on experience integrating AI deeply into engineering and development workflows — such as AI coding assistants, automated code review, or developer productivity tooling
Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams
Nice to have
Background at an AI-native startup or frontier AI lab, with familiarity with fast-cycle product iteration
AI publications, patents, or industry-recognized technical contributions
Familiarity with the unique technical challenges of applying AI in crypto, fintech, or high-frequency data environments
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Los Angeles, USA
At Riot, we are investing in League of Legends to grow the game for generations to come. As player needs become more varied and our experiences become more dynamic, machine learning is an increasingly important part of how we help players discover the right experiences, make better decisions in and around the game, and find fair, compelling matches.
As a
Staff Machine Learning Engineer
in League of Legends, you will build applied machine learning systems that directly improve player experience. You will work across player and product problems through data, modeling, experimentation, launch, and iteration, partnering closely with League product, design, Insights, game engineering, and service engineering teams. Your work could span across personalized player experiences, in-game systems, and matchmaking.
You will report to the Data Engineering Director in League of Legends and operate as a deeply embedded technical partner to the game team. You will also help strengthen craft standards, knowledge sharing, and technical quality across Riot’s growing ML engineering discipline.
Responsibilities:
Own end-to-end ML solutions for player-facing problems across personalization, game systems, and matchmaking, from problem framing through production launch and ongoing iteration.
Set technical direction for a League ML domain and create reusable modeling, evaluation, and operating patterns that raise the bar beyond your immediate team.
Build models, recommenders, ranking systems, and decision logic that help players discover the right champions, builds, modes, content, and return paths based on their needs and context.
Develop ML approaches that improve in-game systems and matchmaking quality, balancing player experience, fairness, reliability, and operational constraints.
Partner closely with product managers, designers, analysts, and engineers to shape ambiguous opportunities into clear technical plans and shipped player-facing features.
Translate gameplay, behavioral, and product telemetry into reliable signals and evaluation frameworks.
Design and run experiments to evaluate model quality, player impact, and system tradeoffs.
Work directly with game and service engineers to integrate models into League systems and services, including helping define instrumentation and telemetry when needed.
Operate independently across multiple partner groups, driving multi-month work with limited day-to-day oversight.
Contribute to the ML engineering community at Riot through peer reviews, documentation, craft standards, and shared learnings.
Help establish robust monitoring, observability, and support practices for live ML systems as they scale.
Required Qualifications:
Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.
6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles.
Evidence that your modeling choices have been adopted beyond your immediate team — whether through reusable patterns, shared architectures, or influence on how others approach problems.
History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply.
Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction.
Comfort with ambiguity — you’ve shipped in situations where the success metric, the right approach, or both were unclear at the start.
Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you.
Excellent written and verbal communication.
Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments is a plus.
Experience bridging research and production — translating papers or prototypes into reliable shipped systems — is a plus.
Familiarity with ML platform components (model serving, feature stores, ML observability) is a plus.
Passion for player experience, games, or creative technology.
Desired Qualifications:
Experience building ML systems for games, live service products, consumer personalization, or other player-facing digital products.
Experience with matchmaking, recommendations, multi-objective optimization, or other systems that must balance competing goals.
Familiarity with causal inference, uplift modeling, contextual bandits, reinforcement learning, or other approaches useful for adaptive player experiences.
Experience integrating models into latency-sensitive or high-reliability production environments.
Experience defining telemetry or instrumentation needs in close partnership with software engineers.
Familiarity with responsible AI practices, including fairness, safety, transparency, and operational trustworthiness.
Comfort collaborating across a central craft organization and an embedded product team model.
For this role, you’ll find success through:
Strong applied ML craft
Independent execution in ambiguous spaces
Thoughtful collaboration with product, design, engineering, and Insights partners
Decision-making that prioritizes player value and long-term system health
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Larnaca, Cyprus
This is an onsite role, and we're seeking someone who will work directly from the client's office in Nicosia.
Relocation conditions:
A 2,000-euro relocation bonus (3,000 euros if relocating with family).
This project focuses on enabling enterprise grade AI and GenAI capabilities across banking systems by implementing robust MLOps practices and cloud native infrastructure. The goal is to standardize how AI models are deployed, monitored, and governed in a secure and compliant way.
Design and maintain CI/CD and MLOps pipelines for AI/ML solutions.
Deploy and operate AI workloads on Azure Machine Learning, Azure OpenAI, AKS, Azure Functions, and Azure DevOps.
Automate infrastructure using Terraform, Bicep, or ARM templates.
Implement secure deployment practices: RBAC, Key Vault, managed identities, private endpoints, network isolation.
Set up monitoring, logging, alerting, and operational support for AI services and model endpoints.
Support model versioning, release management, rollback, and production governance.
Work closely with data scientists, AI engineers, cloud architects, security, and banking IT teams.
Ensure solutions meet banking standards for security, auditability, resilience, and compliance.
7+ years of DevOps, Cloud Engineering, Platform Engineering, or related experience.
Strong experience with Azure DevOps, CI/CD pipelines, Git, YAML, and release management.
Experience with Azure Machine Learning and/or MLOps platforms.
Practical knowledge of Azure OpenAI, GenAI applications, or AI service deployment.
Experience with Docker, Kubernetes, and AKS.
Experience with Infrastructure as Code: Terraform, Bicep, or ARM.
Good understanding of monitoring tools such as Azure Monitor, Application Insights, Log Analytics, Grafana.
Scripting skills in PowerShell, Python, or Bash.
Experience working in regulated enterprise environments, preferably banking, fintech, or insurance.
Experience with RAG pipelines, prompt orchestration, MLflow, or Prompt Flow.
Knowledge of Microsoft data platforms: Databricks, Synapse, Data Factory, Microsoft Fabric, Purview.
Understanding of AI governance, model risk, data privacy, and audit requirements.
Experience with Microsoft security tools such as Defender for Cloud or Sentinel.
seniorLarnaca, Cyprus; Relocation conditions:; A 2,000-euro relocation bonus (3,000 euros if relocating with family)
Location: San Francisco; Seattle; New York City
ABOUT THE ROLE
The Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own. We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems. That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals.
You’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build next. You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations. Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work.
KEY RESPONSIBILITIES
- Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work.
- Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results.
- Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents.
- Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products.
- Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability.
- Measure and improve activation, repeat usage, and workflow completion, using customer feedback and product experiments to drive sustained AI adoption.
- Partner with Product, Design, Sales, and engineering teams to turn customer needs and emerging AI capabilities into reliable product experiences.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of building and shipping production products end to end.
- Hands-on experience shipping applications with LLMs or AI agents, with good judgment about their capabilities and limitations and experience improving product quality through evaluation and user feedback.
- Strong software engineering and system design skills, with proficiency in Python or Go and the ability to work across backend services and user-facing applications.
- Strong product judgment and the ability to translate ambiguous customer needs into simple, effective product experiences for users with different levels of technical expertise.
- Comfort working directly with customers, moving quickly between discovery and implementation, and owning problems without a fully defined specification.
- Experience with enterprise, growth, or collaboration products is a plus.
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
Location: San Francisco; Seattle; New York City
ABOUT THE ROLE
The Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own. We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems. That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals.
You’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build next. You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations. Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work.
KEY RESPONSIBILITIES
- Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work.
- Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results.
- Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents.
- Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products.
- Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability.
- Measure and improve activation, repeat usage, and workflow completion, using customer feedback and product experiments to drive sustained AI adoption.
- Partner with Product, Design, Sales, and engineering teams to turn customer needs and emerging AI capabilities into reliable product experiences.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of building and shipping production products end to end.
- Hands-on experience shipping applications with LLMs or AI agents, with good judgment about their capabilities and limitations and experience improving product quality through evaluation and user feedback.
- Strong software engineering and system design skills, with proficiency in Python or Go and the ability to work across backend services and user-facing applications.
- Strong product judgment and the ability to translate ambiguous customer needs into simple, effective product experiences for users with different levels of technical expertise.
- Comfort working directly with customers, moving quickly between discovery and implementation, and owning problems without a fully defined specification.
- Experience with enterprise, growth, or collaboration products is a plus.
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
Location: San Francisco
Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.
As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
- Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
- Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
- Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.
- Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.
- Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.
- Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.
Qualifications
- 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
- Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.
- Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.
- Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.
- An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.
- Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.
- Experience mentoring engineers and raising the technical bar of a team.
- Genuine interest in and adoption of AI products and willingness to learn quickly.
Nice to have
- Domain expertise in verticals such as finance, healthcare, legal, or operations.
- Experience building agentic product surfaces.
- Time at a fast-growing startup or high-ownership engineering team.
Location: San Francisco
Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.
As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
- Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
- Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
- Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.
- Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.
- Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.
- Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.
Qualifications
- 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
- Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.
- Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.
- Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.
- An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.
- Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.
- Experience mentoring engineers and raising the technical bar of a team.
- Genuine interest in and adoption of AI products and willingness to learn quickly.
Nice to have
- Domain expertise in verticals such as finance, healthcare, legal, or operations.
- Experience building agentic product surfaces.
- Time at a fast-growing startup or high-ownership engineering team.
Location: Greenwich, Connecticut, United States; New York, New York, United States
iCapital is seeking a Senior Vice President, Head of Managed Accounts and Model Portfolio Delivery to lead the packaging, development, and commercialization of the firm’s model portfolio and separately managed account (SMA) capabilities. This individual will be responsible for defining and scaling the operational infrastructure to support inclusion of alternative investments via model portfolio and managed account solutions across wealth management channels.
This is a senior leadership role requiring deep expertise across portfolio implementation, advisory platform capabilities, product development, defining technology requirements, regulatory frameworks, and partnerships with third-party service providers (custodians, UMA vendors, etc.). The role will operate at the intersection of product, investment solutions, distribution, and technology, partnering closely with internal teams and external clients to deliver innovative, scalable portfolio solutions and drive revenue growth.
Responsibilities
Define and execute the firm’s Managed Accounts and Model Portfolio Delivery strategy, aligning with iCapital’s broader product and platform roadmap.
Establish iCapital as a market leader in next-generation portfolio construction frameworks, including public-private allocation models.
Lead the evolution of model portfolios, UMA programs, SMA offerings and other managed account solutions, including the integration of alternative investments and private markets.
Lead go-to-market strategy for model and SMA solutions across distribution channels.
Partner with Sales, Relationship Management, and Platform teams to drive adoption and revenue growth.
Identify and develop strategic partnerships with wealth platforms, asset managers, and technology providers.
Oversee the design, development, and lifecycle management of managed account solutions.
Partner with iCapital’s Research, Technology and Platform teams to develop framework to make models and managed accounts available in various structures, including hosting on third-party platforms and portfolio management systems.
Drive innovation in portfolio implementation, rebalancing, reporting, and analytics.
Partner with iCapital’s operations team to define the operational framework needed to support managed account solutions.
Collaborate with internal stakeholders to ensure solutions meet client needs across RIAs, broker-dealers, wirehouses, and private banks.
Guide the structuring of models and managed account solutions, ensuring regulatory alignment and scalability.
Partner with legal and compliance teams to ensure all offerings meet regulatory and governance requirements, engagements, including platform integrations, RFPs, and strategic initiatives.
Serve as a senior thought leader externally, representing iCapital with wealth managers, asset managers, and industry partners.
Demonstrate a deep understanding of financial advisors, client portfolios, and portfolio construction workflows.
Gather market feedback to continuously refine product offerings and positioning.
Qualifications
15+ years of experience in asset management, wealth management, or financial technology, with a focus on model portfolios, SMAs, or portfolio construction
Proven experience building and scaling investment advisory programs, model portfolios, or managed account solutions
Strong knowledge of the Investment Company Act of 1940, including registered product structures and compliance considerations
Extensive experience with SMA program structuring, UMA platforms, and advisory platform implementation
Experience owning or managing alternative investment products or private markets strategies
Strong track record of leading go-to-market initiatives and driving revenue growth
Deep understanding of portfolio construction and asset allocation, portfolio implementation and trading workflows, model management and customization, performance reporting and analytics
Able to operate at a senior level across product, strategy, sales, and technology teams
Exceptional communication and executive presence, with the ability to engage internal stakeholders and external clients
Benefits
The base salary range for this role is $210,000 to $260,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Hybrid - Washington D.C
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Program:
Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.
About the Role:
As the Solution Architect, you'll design the backbone of the platform. You'll define the architecture for the data services storefront and own the DataCard governance framework that keeps our data trustworthy, documented, and compliant end to end. Working closely with the engineering team and the Delivery Owner, you'll translate governance and security requirements in a secure federal (IL4) environment into a clean, defensible technical design. It's a role for an architect who cares as much about data stewardship and governance as about elegant systems.
Key Responsibilities:
Own cross-pillar architectural integrity and interface coordination across the 24-week program
Design and stand up the DataCard governance framework: schema design, distribution-statement methodology (DoD Dir. 5230.24), provenance lineage
Deploy and configure ZenML multi-cloud orchestration stack per Innodata Layer 2 Multi-Cloud Architecture v3
Design taxonomy engine and sequestration controls architecture
Confirm NIST SP 800-53 Rev 5 control split between Innodata data-layer and AFS infrastructure-layer scope
Lead platform component run books and per-DataCard documentation in Phase E
Coordinate with AI Solutions Engineer on Kubernetes-adjacent data-layer DLP policy configuration
Coordinate with Backend Engineer on Databricks write-back schema and DataCard write-back path
Must-Have Qualifications:
Bachelor's degree in Computer Science, Data Engineering, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
10+ years total professional experience, 6+ years in data architecture or platform engineering
Databricks, Delta Lake, and MLflow — hands-on implementation experience, not conceptual
Data governance frameworks: DataCards, provenance, lineage, distribution statement controls
ZenML or equivalent ML orchestration tooling (Airflow or Prefect acceptable; must be willing to ramp ZenML quickly)
Working knowledge of IL4/IL5 boundary concepts, NIST SP 800-53 Rev 5, and DoD data classification requirements
Active Secret clearance with TS/SCI eligibility
Nice-to-Have Qualifications:
Prior Innodata or annotation platform architecture experience
MLflow model governance and registry hands-on experience
Ontology and taxonomy design for AI/ML training datasets
DoD Directive 5230.24 distribution statement implementation experience
The expected hourly salary range for this position is $70 to $75 p/hour, based on experience, skills, and qualifications.
Note to Candidates:
This role is the primary technical decision-maker on the program below the Delivery Owner. The SA is expected to make architectural calls independently within the established framework and surface only unresolved cross-cutting decisions to the Delivery Owner.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Hybrid - Washington D.C
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Program:
Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.
About the Role:
As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You'll work with the AI Solutions Engineer to ensure the data going into our models is accurate, well-labeled, and fully traceable. This role is for someone detail-obsessed who understands that great AI starts with disciplined, well-governed data.
Key Responsibilities:
Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery
Produce the ODIN load report: corpus description, ontology mapping, readiness state
Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack
Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production
Produce 50–100 label demonstration corpus across synthetic and mission-aligned content
Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs
Associate DataCard provenance records with annotated and synthetic outputs in coordination with the Solution Architect
Must-Have Qualifications:
Bachelor's degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
5+ years total professional experience, 3+ years in data engineering or annotation operations
CVAT — deployment and day-to-day operation required; this is not a nice-to-have
Annotated dataset ingest pipelines: schema mapping, format validation, ontology alignment
Full-motion video (FMV) annotation concepts and tooling
Python scripting for data wrangling, validation, and format conversion
Active Secret clearance with TS/SCI eligibility
Nice-to-Have Qualifications:
Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis
CVAT annotation platform — AI feature configuration and operation
DoD or IC data program experience: CUI, distribution statements, federal data governance
Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
Video understanding or FMV annotation experience
DataCard or ML data provenance framework familiarity
The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications.
Note to Candidates:
Phase D corpus production (Weeks 17–19) is the core demonstration deliverable. Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Hybrid - Washington D.C
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Program:
Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.
About this Role:
As the Backend/Integration Engineer, you'll build the connective tissue of the platform. You'll develop the data services storefront's backend, stand up ingest pipelines, and implement reliable write-back into our data lakehouse so results flow cleanly across systems. Working alongside the Solution Architect, you'll make sure the platform's components integrate securely and perform under real workloads in a federal (IL4) environment. It's a strong fit for a backend engineer who likes owning integrations and turning architecture into working plumbing.
Key Responsibilities:
Implement Databricks REST API write-back for labeled outputs, DataCard provenance records, and synthetic content outputs
Build and validate the Duality back-end integration: catalog intake form configuration, parameter translation to Duality generation API, async job lifecycle management (submission, tracking, retry, completion), output handling
Implement ServiceNow REST integration for white-glove routing intake path
Build and maintain storefront backend services (API layer between frontend UI and platform components)
Implement DataCard write-back path in coordination with Solution Architect
Design and maintain async job queue management and retry logic across all integration surfaces
Structure output metadata for DataCard provenance records per DoD distribution statement requirements
Must-Have Qualifications:
Bachelor's degree in Computer Science, Software Engineering, or related field required. Equivalent experience may substitute for degree on a 2-for-1 basis.
6+ years total professional experience, 4+ years backend or API integration engineering
Python backend development — strong, production-grade
REST API integration with async job lifecycle patterns (submission, polling, retry, webhook handling)
Databricks REST API or strong Spark/Databricks platform familiarity
JSON schema design and structured metadata handling
Active Secret clearance with TS/SCI eligibility
Nice-to-Have Qualifications:
ServiceNow REST API integration experience
Federal program API integration background
ZenML or ML orchestration pipeline familiarity
React or modern frontend experience for storefront skeleton support
The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.
Note to Candidates:
The Databricks write-back and Duality integration are the two highest-complexity tasks in Phase B. Candidates should be prepared to discuss async API integration patterns and their approach to retry logic and error handling in federal-data environments during the interview.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Hybrid - Washington D.C
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Program:
Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.
About the Role:
As the AI Solutions Engineer, you'll bring the platform's AI capabilities to life. You'll integrate synthetic data generation into the pipeline, stand up and tune the annotation toolchain, and orchestrate reproducible ML workflows that the rest of the team can build on. You'll partner with the Solution Architect and Data/Annotation Engineer to turn raw corpora into high-quality, model-ready data. This role suits an engineer who's fluent across modern AI tooling and enjoys making sophisticated ML infrastructure actually work in production.
Key Responsibilities:
Configure and validate native AI-assistive features across bundled platform components (Dataset Explorer, DataCard Service, Annotation Platform)
Integrate and tune SAM 2 for full-motion video annotation: object tracking, segmentation calibration, confidence threshold configuration
Implement Frontier model API integration for synthetic data fidelity validation: prompt engineering, response validation, quality scoring
Configure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion
Implement ICAM / OIDC authentication integration with AFS identity framework
Configure data-layer DLP policies above the AFS-managed DLP infrastructure substrate
Configure NiFi FMV codec validation layer (H.264, H.265, MPEG-4) above AFS-managed substrate
Validate AI feature integration end-to-end across storefront, annotation platform, and DataCard write-back during Phase C
Must-Have Qualifications:
Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
6+ years total professional experience, 4+ years hands-on AI/ML engineering
SAM 2 or equivalent foundation model integration for computer vision or video annotation
Frontier model API integration (OpenAI, Anthropic, or equivalent): async job management, quality validation pipelines
Python — strong, production-grade; comfortable with ML tooling and data pipeline development
Experience configuring AI-assistive features in annotation platforms or ML data tooling
Active Secret clearance with TS/SCI eligibility
Nice-to-Have Qualifications:
CVAT annotation platform — AI feature configuration and operation
DoD or IC data program experience: CUI, distribution statements, federal data governance
Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
Video understanding or FMV annotation experience
DataCard or ML data provenance framework familiarity
The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.
Note to Candidates:
This role does not own infrastructure deployment. The AI Solutions Engineer operates at the AI/ML configuration and integration layer above the infrastructure. Ideal candidate is equally comfortable writing Python integration code and reasoning about model quality — and understands that in a federal data environment, every AI decision needs an audit trail.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Austin, TX
Workplace: Hybrid
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
Our SMB (Small and Medium Business) Sales Team is responsible for landing and expanding 1Password customers. As an SMB Account Executive, you will be responsible for managing a territory that includes target-accounts and an existing book of business that has companies of up to 1,000 employees. Your primary focus will be on hunting new business opportunities, building sales pipeline, and driving growth within the SMB sector. You will also be responsible for upselling into the existing account base, leveraging our Extended Access Management Identity.
The successful candidate will possess exceptional skills in building and managing their own pipeline, engaging in multi-threaded relationships, and demonstrating expertise in account planning, territory management, and value-based selling.
How we’re using AI today
Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here.
Expectations of this role
This is a hybrid role. You will be expected to work from 1Password's Austin office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we're looking for:
- 2+ years of SaaS sales experience, preferably in identity & security or privilege access management, with a focus on SMB or Mid Market accounts OR a top performing BDR with outbound experience and success ready to step up
- Strong track record of meeting or exceeding sales quotas and KPIs.
- Experience up-selling & cross-selling to both new customers and across your book of business
- Proficiency in strategic account planning, territory management, and value-based selling.
- Strong business acumen, communication & presentation skills to C-Suite
- Meticulous operating-rigor when it comes to pipeline management, forecasting and pacing to target
- Ability to understand and articulate complex cybersecurity concepts, particularly in Identity and Access Management.
- Self-motivated, driven, and able to work independently in a remote setting.
- Preferable proficiency with Salesforce, Slack, Zoom, Linkedin Sales Navigator & Outreach
What you can expect:
- Sales:
- Own your territory and build and Maintain Pipeline: Develop a strong sales pipeline through proactive prospecting, cold calling, and networking.
- Drive Sales Growth:
- Achieve or exceed sales targets and KPIs, including:
- Consistently meet or exceed quarterly sales quotas.
- Maintain a high level of outbound activity, including calls, emails, and meetings.
- Develop and close new business opportunities within your territory.
- Upsell and Expand Accounts: Identify opportunities to upsell Extended Access Management to your Enterprise Password Manager Customers.
- Cross-functional Collaboration/Team Selling:
- Collaborate seamlessly with SDRs, Solutions, Onboarding and Customer Success Managers (CSM) to optimize client engagement and identify growth opportunities.
- Engage in multi-threaded relationships within client organizations to enhance overall account health.
- Value-Based Selling:
- Implement value-based selling strategies to align our solutions with client needs and objectives.
- Demonstrate a deep understanding of client pain points and position our offerings as strategic solutions.
- Presentation and Negotiation:
- Confidently present to C-suite executives, articulating the value proposition of our products and services.
- Experience working with Mutual Action Plans to drive an agreed-upon outcome.
- Utilize strong negotiation skills to drive mutually beneficial outcomes.
USA-based roles only: The annual base salary for this role is between $68,000 USD and $95,000 USD, and is commission-eligible. This role is also immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to work
We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement.
For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🏝 Generous PTO policy
💖 Four company-wide wellness days
Growth and future
📈 Company equity for all full-time employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🌎 Employee-led inclusion and belonging programs and ERGs
🏆 Peer-to-peer recognition through Bonusly
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
УдалённоWuhan, China
УдалённоShenzhen, China
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