AI Engineer - Instrumentation Jobs

AI Product Engineer, New Grad

We are looking for exceptionally motivated new graduates to join our high-perfor...

Location

United States

Salary:

100000.00 - 135000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

Taking ownership of complex problems from day one
Putting in the extra effort to learn new technologies rapidly
Pushing yourself outside your comfort zone regularly
Maintain high standards of code quality despite being new to the industry
Think critically about system and product design rather than just following instructions
Experience working with GraphQl or a comparable API technology
Experience working with ML, analytics, data science or data visualization products
Working knowledge of Machine Learning and/or Data Science
First-hand experience working with large language models (LLMs) or developing AI products

Job Responsibility

Part of the core team that drives AI product innovation
Understanding how some of the most impactful engineering teams are developing AI and LLM-powered applications
Building the right tools to enable them to do their best work
Working on product solutions ranging from clean APIs that magically instrument applications, interactive playgrounds for prompt engineering and agent development, or scaling up real-time evaluation infrastructure to handle millions of annotations per second
Diving into complex technical challenges like: Computing model evaluation metrics across billions of data points
Creating AI Agents that help customer troubleshoot their own applications
Building on top of a cutting-edge custom OLAP database
Implementing advanced dimensionality reduction techniques
Building systems that handle millions of annotations per second

What we offer

Competitive equity package
Comprehensive benefit package including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, others for mental and wellness support
WFH monthly stipend to pay for co-working spaces

Fulltime

Senior Software Engineer, Observability

The Observability team at Airtable ensures that engineers have the tools they ne...

Location

United States , San Francisco; New York; Seattle

Salary:

196000.00 - 270000.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

6+ years of software engineering experience
3+ years focused on observability or infrastructure at scale
Demonstrated success implementing and running production-grade logging, metrics, or tracing systems
Proficiency in distributed systems concepts, data streaming pipelines, and container orchestration (Kubernetes)
Deep hands-on knowledge of tools such as Prometheus, Grafana, Datadog, OpenTelemetry, ELK Stack, Loki, or ClickHouse
Comfort with at least one programming language (e.g., Go, Python, Java) to build and maintain observability tooling
Experience mentoring engineers and collaborating across multiple teams
Strong communication skills
Eagerness to own high-impact initiatives
Proven ability to balance short-term fixes with long-term strategic vision

Job Responsibility

Architect and scale core observability systems
Lead the design and evolution of logging, metrics, and tracing pipelines
Evaluate and integrate new technologies (e.g., OpenTelemetry, ClickHouse, ELK stack)
Guide and mentor a growing team of infrastructure engineers
Define and uphold coding standards and operational excellence
Partner with Deploy Infrastructure, Service Orchestration, and Product teams
Align infrastructure decisions with business goals
Own end-to-end reliability for observability tools and establish SLAs, SLOs, and error budgets
Optimize performance and cost of large-scale data pipelines
Shape the observability roadmap

What we offer

Opportunity to receive benefits
Restricted stock units
May include incentive compensation
Comprehensive benefit offerings

Fulltime

New

Product Manager, AI Platform

The Product Manager, AI Platform will define and drive the vision, strategy, and...

Location

Salary:

Not provided

ACI Infotech

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent experience
5+ years of product management experience in B2B SaaS or enterprise platforms
Proven track record with platform roadmaps, developer experience, and APIs
Strong skills in stakeholder management and cross-team collaboration
Ability to scope MVPs and prioritize effectively
Evidence of shipping platform features that impacted KPIs
Comfort working with technical concepts and architecture tradeoffs

Job Responsibility

Define vision, strategy, and roadmap for platform services and APIs
Write clear and detailed PRDs and collaborate with engineering and design
Instrument funnel analytics to measure activation and retention
Run experiments to improve adoption and developer satisfaction
Drive adoption of platform APIs and modules across client environments
Ensure product roadmap aligns with business and reliability KPIs

Fulltime

Sr. Product Manager, Growth

Kiddom is redefining how technology powers learning. We combine world-class curr...

Location

United States , San Francisco

Salary:

150000.00 - 200000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

5+ years of product management experience, with significant experience driving growth in SaaS products
Proven success in building and scaling growth functions—including onboarding, activation, retention, monetization, or expansion
Startup and growth experience – you’ve thrived in fast-moving environments where experimentation, agility, and ownership are essential
Strong analytical instincts—you leverage data and experimentation frameworks to make smart decisions and can balance qualitative and quantitative insights
Exceptional communication and influence—you can inspire teams, simplify complex growth strategies, and align technical and non-technical stakeholders
Deep understanding of growth metrics, funnels, A/B testing, and product-led growth mechanics

Job Responsibility

Set vision and strategy for growth – Define and execute strategies that drive adoption, retention, and expansion across schools, districts, and educators
Design growth loops and funnels – Leverage experimentation, analytics, and user insights to optimize onboarding, activation, engagement, and conversion at scale
Partner with GTM teams – Collaborate closely with marketing, sales, and customer success to align product-led growth initiatives with broader go-to-market strategies
Lead cross-functional experiments – Design, prioritize, and execute growth experiments across the product and GTM funnel, using data-driven insights to accelerate impact
Balance product-led and sales-assisted growth – Shape experiences that empower educators to quickly see value while enabling districts to scale adoption seamlessly
Champion data-informed decisions – Partner with data and engineering teams to ensure robust instrumentation, dashboards, and feedback loops guide growth strategy
Build sticky, habit-forming experiences – Drive feature adoption and long-term engagement by designing intuitive workflows that keep educators and students returning
Lead with influence – Align engineering, design, GTM, and leadership around growth priorities, creating clarity and momentum across highly cross-functional teams

What we offer

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Senior Product Manager

Lead the development and execution of our AI-powered products and analytics solu...

Location

United States

Salary:

Not provided

Follett Software

Expiration Date

Until further notice

Requirements

5+ years of product management experience
At least 2+ years focused on AI/ML products or data analytics platforms
Deep understanding of modern AI technologies including machine learning, agentic AI systems, generative AI, and their practical applications
Demonstrated ability to translate complex technical concepts into customer value and make data-driven product decisions
Thrives in fast-paced environments
Embraces challenges with a 'can-do' attitude
Strong problem-solving skills
Track record of successfully launching and scaling AI-powered or analytics products from 0-to-1 and beyond
Experience working with data science and engineering teams to ship products and deliver measurable business outcomes
Exceptional ability to work across product teams and functional areas to drive alignment on cross-product initiatives and platform strategies

Job Responsibility

Drive data-informed product strategy: Conduct quantitative and qualitative analysis of user behavior, product metrics, and market data to identify opportunities and validate hypotheses
Leverage machine learning insights and develop products that empower customers with actionable intelligence
Prioritize features based on customer value and business impact and collaborate with engineering and design to deliver exceptional AI-powered experiences
Shape cross-product strategy: Collaborate with stakeholders across product suites to identify opportunities for AI integration, ensure consistent user experiences, and build platform capabilities that unlock value across multiple products
Conduct market research and competitive analysis to inform product roadmap development and positioning
Drive execution excellence: Define success metrics and OKRs, manage cross-functional dependencies, and lead agile development processes to deliver high-quality products on schedule
Remove blockers and ensure alignment across engineering, design, and go-to-market teams
Communicate effectively and lead: Clearly articulate the product vision, provide direction to your team, and foster collaboration across functions
Measure success and iterate: Define, instrument, and analyze product performance metrics to understand impact and drive continuous improvement
Leverage experimentation frameworks to validate assumptions and optimize product experiences

What we offer

Comprehensive health care: Full health plan coverage (medical, dental, vision) and life insurance
Retirement planning with company match: 401(k) plan with matching contributions
Flexible time off: Flexible paid time off to maintain a healthy work-life balance
100% remote work: enjoy the flexibility of working from home with our fully remote work environment in the US

Founding Support Engineer

Reducto helps AI teams ingest real world enterprise data with state of the art a...

Location

Salary:

Not provided

Reducto

Expiration Date

Until further notice

Requirements

Communicate clearly and empathetically with developers and non-technical users
Are excellent at systematic debugging (HTTP, JSON, auth, retries, idempotency, webhooks)
Are comfortable reading/writing code (Python or TypeScript preferred) to create minimal repros
Have strong product sense: you don't just fix symptoms — you propose changes that eliminate whole classes of issues
Thrive in a high-ownership, early-stage environment and bias toward action

Job Responsibility

Be the front line for developers using Reducto's API — triage, reproduce, and resolve issues across auth, webhooks, rate limits, schema/field extraction, and SDKs
Own the debugging loop end-to-end — capture great repros, dig through logs/metrics, file crisp bug reports, and drive fixes across Engineering
Build durable support processes — write playbooks, macros, and self-serve docs
instrument queues and SLAs
tighten feedback loops so issues don't repeat
Use AI to move faster — summarize long logs, cluster similar tickets, propose replies, and draft docs
measure where AI assists actually reduce time-to-resolution
Champion the developer experience — spot rough edges in our API, docs, and tooling
partner with Engineering and Product on roadmap fixes and quality-of-life improvements

What we offer

Unlimited PTO
Lunch: Receive a free lunch to eat with your teammates daily at the office
Reimbursed Transportation: Provide us with your receipts and we’ll take care of the costs
Insurance: Generous health insurance covering medical, dental, and vision
Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar
Parental Leave: Work with us to build a leave schedule that works for you and your family

Fulltime

Senior Event Data Analyst

We’re hiring a Senior Event Data Analyst to improve the quality, consistency, an...

Location

Argentina; Brazil

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

5+ years working with SQL, Python, event debugging, and analytical problem-solving
5+ years with e-commerce clickstream data, behavioral tracking, and purchase funnels
Experience with event semantics, canonical schemas, and mapping layers
Strong understanding of event-based systems, experimentation, and streaming pipelines
Ability to investigate issues across multiple systems and teams
Strong ownership, structured thinking, and ability to operate with minimal direction
AI-first mindset and hands-on use of LLM tools for debugging/analysis

Job Responsibility

Investigate known and unknown tracking issues and drive resolution
Validate correctness, completeness, and consistency of raw vs. canonicalized events
Check attribute meaning, parity across platforms, and alignment with product/UI behavior
Identify mismatches such as naming drift or inconsistent attribute values
Maintain and refine canonical schemas and mapping rules for source → canonical events
Ensure multi-source events follow consistent semantics
Work with engineering teams to correct upstream defects or breaking changes
Review and simplify existing data quality rules
Build clear, actionable rules with appropriate severity levels
Reduce alert fatigue while improving real-issue detection

Data Scientist

The FX Data Analytics & AI Technology team, within Citi's FX Technology organiza...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12 to 18 years experience
Master’s degree or above (or equivalent education) in a STEM discipline
Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate
Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc)
Understanding of Gen AI models, Vector databases, Agents and follow the market trends
Experience developing and implementing quantitative models from data in a financial context
Proficiency working with version control systems such as Git, and familiarity with Linux computing environments
Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc
Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools
Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences

Job Responsibility

Design, develop and implement quantitative models to derive insights from large and complex FX datasets, with a focus on understanding market trends and client behavior, identifying revenue opportunities, and optimizing the FX business
Engineer data and analytics pipelines using modern, cloud-native technologies and CI/CD workflows, focusing on consolidation, automation, and scalability
Collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology
Develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance
Contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders

What we offer

Global Benefits
We bring the best to our people. We put our employees first and provide the best-in-class benefits they need to be well, live well and save well

Fulltime

AI Engineer - Instrumentation

Arize

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 06, 2025

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Location:United States

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