Marketing Agent Engineer Job at Profound (New York City)

Software Engineer, AI Agents

We’re looking to add a product-minded AI engineer to the team. The ideal candida...

Location

United States

Salary:

180000.00 - 320000.00 USD / Year

Hightouch

Expiration Date

Until further notice

Requirements

Strong customer and product thinking
Ability to be highly creative with LLM applications
Ability to rapidly prototype and architect production LLM pipelines
Strong technical skills, particularly in backend architecture
Product intuition
Strong communicator
Growth mindset
Motivated and persistent in achieving goals

Job Responsibility

Quickly iterating and developing proofs of concept (POCs) to explore the maximum potential of integrating AI into data and marketing workflows
Making key decisions about the choice of AI architecture and frameworks
Building production data agents that can make use of a company’s data to seamlessly answer analytics and data science questions about their users and marketing efforts
Developing a deep understanding of user workflows to create seamless AI-assisted user experiences

Fulltime

Backend Engineer, AI Content Agents

We’re building the future of AI driven marketing, one content agent at a time. A...

Location

United States

Salary:

180000.00 - 320000.00 USD / Year

Hightouch

Expiration Date

Until further notice

Requirements

Strong backend architecture skills
Curiosity
Product intuition
Ability to bring ideas from napkin sketch to production reality
Comfortable shipping a full stack feature and experimenting with an LLM workflow
Ability to build APIs, data models, and orchestration layers
Experience building and maintaining backend services, APIs, and data models
Experience developing new agent behaviors from prototypes to scalable production systems
Experience extending web layers with new features
Experience improving reliability, observability, and performance across a stack

Job Responsibility

Design and ship intelligent systems that understand a company’s data, generate on-brand content, and collaborate with humans in real time to deliver creative work
Build APIs, data models, and orchestration layers that make our agents reliable, debuggable, and fast
Partner closely with product and design to deliver experiences that make AI feel natural, useful, and trustworthy
Building and maintaining backend services, APIs, and data models that power AI-generated marketing content
Developing new agent behaviors, taking them from quick prototypes to scalable production systems
Extending our existing web layer with new features that connect directly to AI workflows
Improving reliability, observability, and performance across our stack
Collaborating cross functionally to ship user facing features end-to-end, from design to deployment

Fulltime

Marketing Channels Manager, AI Technologies

The Business Marketing Group connects businesses with their customers on Faceboo...

Location

United States , Menlo Park

Salary:

152000.00 - 213000.00 USD / Year

New

Technical Marketing Engineer

Glean is seeking a Technical Marketing Engineer–Agent Development to build agent...

Location

United States , Palo Alto; San Francisco

Salary:

150000.00 - 200000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

4+ years of experience in sales engineering, solutions architecture, product engineering or related field
You have hands-on experiences building agents
You have deep domain knowledge of the sales and/or support department and their required tools/data sources
You have a deep understanding of the latest AI technologies, including model capabilities, agent building best practices, evaluation, etc
You are an avid user of AI tools and agents yourself
You are an excellent communicator: able to explain how new technology works and its impact in simple terms tailored to your audience, both in written format and live presentations
Strong technical skills. You can build agents in code, evaluate their quality, and use advanced agent tools to meaningfully improve performance
Collaborative and influential. You work seamlessly across marketing, sales, engineering, product, partners and customers, helping to grow Glean’s footprint in the sales and/or support market

Job Responsibility

Build and scale agents that transform how sales and/or support teams operate, driving adoption through enablement and training
Understand the way of working, processes, common tools and data sources of the support and/or sales department in depth and build agents that can drive concrete business impact
Cultivate relationships with agent builders, admins, users and sales/support leaders, capturing their feedback and turning them into actionable insights that deepen trust and adoption of Glean Agents
Represent Glean at conferences and events showcasing real-world agents, explain how they work, how to build them and the business impact

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
vibrant company culture through regular events
healthy lunches daily

Fulltime

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

Front Office GenAI Agentic Engineer - Vice President - Markets

The Markets division is looking to accelerate automation and innovation through ...

Location

United States , NEW YORK;BOSTON;CHARLOTTE

Salary:

159000.00 - 305000.00 USD / Year

Wells Fargo

Expiration Date

March 27, 2026

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years expert level Python and core software engineering principles
Hands-on experience with major GenAI platforms (e.g., Google Vertex AI, Microsoft Copilot Studio, Amazon Bedrock) or open-source frameworks (e.g., LangChain, LlamaIndex, AutoGen)
Deep knowledge of LLM and API integration, including RESTful API design
Demonstrated systems thinking and experience designing complex, event-driven applications
Strong cross-functional communication skills, with the ability to partner effectively with business, product, and technology teams
Prior experience with application development in banking, capital markets, or sales & trading environments
Experience with container-based deployment (e.g., Docker, OpenShift) and CI/CD tools (e.g., Jenkins, Azure)
Familiarity with front-end frameworks (e.g., React, Angular) and best practices in testing and observability
Experience building and deploying agentic or event-driven systems in production

Job Responsibility

Agent Design & Orchestration: Architect and deploy agents that autonomously execute complex, multi-step business workflows, ensuring alignment with business objectives and regulatory requirements
Tool Development & Integration: Build and integrate APIs/tools, enabling secure and reliable agent access to internal and external resources
Prompt Engineering: Develop advanced prompts and system instructions to define agent behavior, reasoning, and interaction patterns
State & Memory Management: Implement robust systems for tracking agent progress, learning from interactions, and maintaining context across workflows
Evaluation & Debugging: Create frameworks to assess agent reasoning, troubleshoot complex behaviors, and ensure system reliability
Collaboration: Work closely with product, data science, and business teams to identify automation opportunities and translate requirements into technical solutions
Documentation & Compliance: Deliver high-quality software, documentation, and model validation artifacts, adhering to Agile SDLC and all relevant risk and compliance standards
Proactively participate in complex software design and development activities within an Agile environment
Contribute to large-scale project planning, balancing short- and long-term objectives
Use advanced AI, quantitative, and engineering techniques to solve challenging business problems

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

Technical Recruiter

As Amigo's first in-house recruiter, you'll be both an individual contributor an...

Location

United States , New York City

Salary:

150000.00 - 200000.00 USD / Year

Amigo

Expiration Date

Until further notice

Requirements

5-10+ years of full-cycle technical recruiting experience in high-growth startups (Series A-D), ideally in AI, healthcare tech, SaaS, or deep tech
Proven ability to source and close 20+ engineers per year in competitive markets, with strong track record of winning candidates against large tech companies
First-principles thinker who understands that environment shapes people more than brands
Deep technical fluency to evaluate whether candidates built vs operated, created vs improved, made architectural decisions vs followed them
Deep understanding of technical talent markets and what attracts engineers to early-stage opportunities in regulated industries
Pattern recognition for identifying builders: strong technical beliefs, experience creating from scratch, necessity-driven depth, and conviction about how systems should be architected
Comfortable being both strategic and hands-on—you can design systems and run searches yourself
Skilled in market positioning and storytelling—selling mission, clinical impact, and growth trajectory over brand-name safety to technical candidates
Experience with recruiting tools like Ashby, Greenhouse, Gem, HireEZ, or similar ATS and sourcing platforms
Strong operational mindset: track metrics, identify bottlenecks, and continuously improve processes

Job Responsibility

Own end-to-end recruiting for engineering and technical roles across Agent Engineers, Solutions Architects, ML Engineers, Backend/Infrastructure Engineers, and technical leadership
Develop and execute a scalable technical recruiting strategy that supports 4× team expansion, typically managing 8-12 open engineering roles at once
Directly source and close top technical talent, with a clear track record of delivering 30 hires per year in competitive markets
Screen candidates for builder vs operator signals before technical interviews—evaluating whether they built from scratch or operated existing systems, whether they have strong technical beliefs, and whether they've debugged below the application layer
Build and optimize the technical recruiting process from scratch: job descriptions, interview loops, candidate experience, evaluation frameworks, and time-to-fill metrics
Drive inclusive hiring practices, ensuring diverse candidate pipelines and equitable processes across all technical roles
Partner with leadership on headcount planning, org design, and evolving business needs as we scale our engineering organization
Provide market intelligence—compensation benchmarking for technical roles, competitive landscape insights, and positioning strategies for attracting talent from big tech, consulting, and healthcare backgrounds
Develop and manage sourcing channels including direct sourcing, agency partnerships, investor networks, academic institutions with strong CS/AI programs, and sourcing platforms
Track and analyze recruiting performance, defining and reporting KPIs such as source of hire, conversion rates, time to fill, and quality of hire for technical roles

What we offer

Comprehensive health, dental, and vision insurance
Mental health support and wellness coaching
Flexible wellness stipend for fitness, therapy, or personal growth
Daily catered lunch and dinner
Annual learning budget for courses, books, or conferences
Conference attendance budget for professional development
Development setup of your choice
Academic collaboration opportunities
Offers Equity
Offers Bonus

Fulltime

Microsoft Elevate Worldwide Copilot & Agents Go to Market Director

We are seeking a forward-thinking, impact-driven Microsoft Elevate Worldwide Cop...

Location

United States , Redmond

Salary:

133000.00 - 222700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Information Technology, Engineering, Health Sciences, Supply Chain, Education, Business or related field AND 5+ years customer-facing experience in operations, enterprise-level improvement program management, product management, transportation, hospitality, automotive, consumer goods, financial services, retail, management consulting, consultative selling, public sector, technology or industry-relevant equivalent management or technical work experience
OR Bachelor's Degree in Computer Science, Information Technology, Engineering, Health Sciences, Supply Chain, Education, Business or related field AND 7+ years customer-facing experience in operations, enterprise-level improvement program management, product management, transportation, hospitality, automotive, consumer goods, financial services, retail, management consulting, consultative selling, public sector, technology or industry-relevant equivalent management or technical work experience
OR equivalent experience
5+ years proven people management and/or leadership experience
5+ years of experience in a WW GTM or Corporate function supporting the AI Workforce Solution Area or applicable competitive platforms
5+ years of experience in creating and driving programs/businesses in the field required
A proven track record of successfully managing a $500M+ business

Job Responsibility

Champion the adoption of secure AI-powered productivity solutions, including Microsoft 365 Copilot and agent-based workflows, to help nonprofits scale their impact
Lead the development of offers, programs, and investment strategies tailored to the unique needs of nonprofit organizations, with a focus on AI readiness and digital transformation
Serve as the principal advocate for AI Workforce in the nonprofit ecosystem, aligning internal stakeholders, partners, and field teams to accelerate adoption and usage
Drive partner-led growth by enabling a robust ecosystem of solution providers to deliver value through AI agents, Copilot Studio, and integrated Microsoft 365 experiences
Own and manage key performance indicators that reflect the health, reach, and impact of the Modern Work business across the nonprofit sector
Develop and orchestrate the business strategy for Copilot and AI agents across the K–12 and nonprofit sectors
Track the effectiveness of strategic plans to drive long-term, sustainable adoption and impact
Hold end-to-end accountability for performance, defining scorecard metrics and KPIs specific to AI adoption, agentic workflows, and customer impact in mission-driven organizations
Take a One Microsoft approach in partnering across senior leadership, ensuring alignment and clear decision-making to advance Copilot and agent-based transformation
Represent business outcomes in Rhythm of Business, monthly, and quarterly reviews—providing context, insights, and recommendations grounded in product truth and real organizational needs

Fulltime

Marketing Agent Engineer

Profound

Location:
United States , New York City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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