June 26, 2026
Senior Applied AI Research Engineer
Senior • On-site
194,004 - 234,996 USD/yr
New York, NY
About Monstro
Monstro is the operating system for governed financial intelligence. We build governance and intelligence infrastructure that enables artificial intelligence to operate safely, explainably, and at institutional scale.
We exist because the level of financial guidance historically available to a small group should be accessible to many more people. By combining AI with deep institutional infrastructure, we help financial institutions deliver more personalized, responsible, and life-changing financial support to millions of individuals.
We're building mission-critical systems in a highly regulated domain, and we care deeply about doing it right.
About the Role
We're looking for a Senior Applied AI Research Engineer to support our AI team at the heart of the company's mission. This is a deeply technical role with real scope: you'll architect and ship systems that power AI-driven financial analysis, build the tooling and infrastructure that domain experts rely on, and set the engineering bar for how we build AI systems responsibly in a regulated industry.
You'll influence how we design agents, how we validate and govern AI output, how we scale our modeling infrastructure, and how we think about auditability and compliance. The intelligence layer is the product.
What You'll Do
- Architect and build AI agent systems — including multi-agent workflows, orchestration layers, and the infrastructure that makes them reliable and auditable in production
- Design modeling and reasoning systems that meet the correctness and explainability requirements of financial services, where every recommendation needs to be traceable and defensible
- Build internal tooling platforms (Python/FastAPI) that enable domain experts and engineers to author, validate, and deploy AI-powered analysis at scale
- Own distributed backend infrastructure: event-driven workers, job pipelines, and multi-stage processing systems that deliver AI outputs reliably under load
- Establish patterns for AI output validation and quality assurance, including automated evaluation pipelines, hallucination detection, and compliance guardrails
- Drive technical decisions across teams: schema design, API contracts, system boundaries, and service architecture
What We're Looking For
- 5-8+ years of engineering experience, leading complex systems from design to production
- Hands-on experience with AI/ML systems — agent architectures, LLM integration, model evaluation, or AI pipelines in production
- Strong Python expertise — async services, type-safe code, and scalable systems
- Experience building AI systems in regulated industries with compliance, auditability, or explainability requirements
- Strong distributed systems fundamentals: event-driven architectures, message queues, job state machines, and worker patterns
- Relational database fluency and strong data modeling skills
- Ability to build product-quality React/TypeScript UIs when needed
- Strong perspective on how AI systems should be tested, evaluated, and monitored in production
Nice to Have
- Experience designing multi-agent systems, agentic workflows, or AI orchestration layers
- Background in quantitative finance, financial planning, or wealth management technology
- Experience leading technical teams or acting as a force multiplier across engineering
Why Monstro?
- Ownership & Impact: Shape the future of AI-powered finance, building a product used by consumers and institutions worldwide
- Experienced Team: Leadership with a track record of scaling companies from early stage to major exits
- Principles-Driven Culture: Emphasis on speed, ownership, and impact
- Comprehensive Compensation Package: Competitive salary, equity, and robust benefits including paid health, vision, dental, and disability coverage
Base Compensation Range (New York City): $194,000 - $235,000
Final compensation will depend on experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws.
A Note on Interviewing
We sometimes use AI note-takers to help transcribe interview notes. Candidates may opt out of automatic transcribers in their application.
Ready to Build With Us?
If you're excited to contribute to a high-bar team building something meaningful, we'd love to hear from you.
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Interface.ai
Senior Product Manager - Financial Solutions
Senior
On-site
Palo Alto, CA
14,583 - 18,750 USD/yr
🏢 Summary: Permanent Product Manager role focused on reimagining financial institutions’ operations by designing and launching AI-native solutions that replace legacy back-office workflows. The position owns the full product lifecycle and acts as a domain expert in regulated financial environments, driving ROI for enterprise clients. The role requires deep expertise in financial operations and building AI-powered automation from scratch. 🗂️ Requirements: 5+ years of product management experience, Experience in financial services operations (operational side of financial institutions), Experience building products for operations, risk, or compliance users, Experience owning full product lifecycle from discovery to launch, Ability to define and communicate ROI-driven value propositions for enterprise buyers, Strong customer discovery and validation skills, Experience working in regulated financial environments, Hands-on experience building AI-native workflows and automation 📃 Skills: AI, ProductManagement, FinancialServices, Operations, Compliance, Risk, Automation, Cursor, Copilot, Claude, Replit, AIagents, Scripting, Regulations, WorkflowAutomation 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role: Financial institutions are full of operational pain points that haven't been meaningfully addressed in decades. Manual workflows, legacy tools, and inefficiency cost the industry billions. Your job is to go deep into how these institutions actually operate, identify the highest-impact friction points, and build AI-native solutions that fundamentally change the way things work. This isn't about wrapping AI around broken processes. It's about reimagining how these workflows should function when AI is the starting point. This is a domain-expert, permanent role (not a rotation) because customer relationships and regulatory knowledge compound over time. Your expertise is the moat. Key Responsibilities Discover and validate the highest-value operational pain points at financial institutions through deep customer engagement Design and build AI-native solutions from scratch: not incremental improvements to legacy workflows, but fundamentally new approaches Own the full product lifecycle: discovery, validation, build, launch, and iteration for each solution you bring to market Be the customer-facing domain expert: spend time with FI operations teams, understand their workflows at a granular level, and translate pain into product Define outcome-based value narratives for enterprise buyers: prove ROI in terms that CFOs and operations leaders care about Navigate regulatory complexity as a first-class product constraint: financial operations are heavily regulated, and compliance shapes the product, not the other way around Partner with platform teams to leverage shared AI infrastructure and capabilities Required Qualifications 5+ years in product management Experience in financial services operations you've worked in or built products for the operational side of financial institutions (not just consumer-facing apps) Built products where the user is an operations, risk, or compliance professional you understand back-office workflows at a granular level Experience defining ROI-driven narratives for enterprise buyers: you sell business outcomes, not feature lists Comfortable being the domain expert who educates engineering teams and peer PMs on industry nuance Strong discovery instincts you know how to find the real pain points, not just the ones customers articulate AI-native workflow: You build with AI daily — analyzing data, building prototypes, generating regulatory summaries, automating repetitive research. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building Preferred Skills Working knowledge of financial operations regulations (collections, fraud, compliance, lending): highly valued but learnable for candidates with adjacent financial services experience Financial institution experience Built AI-powered automation for back-office or operations workflows Experience with outcome-based or performance-based pricing models Experience identifying and validating new product opportunities through customer discovery Who you are? You're the person who has sat with operations teams at financial institutions and watched how they actually work: the spreadsheets, the manual queues, the workarounds that exist because nobody built them a real tool. You see friction that others accept as normal, and you immediately start thinking about what an AI-native solution looks like. You understand regulated environments viscerally. You don't treat compliance as a checkbox, you treat it as a design constraint that makes the product better. You've built products where a regulatory misstep isn't just a bug; it's a lawsuit. You're customer-facing and credible. Operations leaders at financial institutions trust you because you speak their language and understand their world. You can present ROI to a CFO and workflow details to an operations manager in the same meeting. You build your own tools. You use AI to analyze operational data, prototype solution workflows, generate regulatory requirement maps, and accelerate every aspect of your domain work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You see AI as both the product you're building and the way you build it. Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work? Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. Compensation Base Salary is expected to be between $175,000 - $225,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. Benefits 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.
Technology

Interface.ai
Senior Product Manager - Financial Solutions
Senior
On-site
San Francisco, CA
14,583 - 18,750 USD/yr
🏢 Summary: Permanent Product Manager role focused on reimagining financial institution operations through AI-native solutions. The role involves identifying high-impact operational pain points and building end-to-end AI-driven products that replace legacy workflows in regulated banking environments. You will own the full product lifecycle and deliver ROI-driven solutions for enterprise financial institutions. 🗂️ Requirements: 5+ years product management experience, Experience in financial services operations, Experience building products for operations, risk, or compliance users, Experience owning full product lifecycle, Experience defining ROI-driven enterprise narratives, Strong customer discovery skills, Experience working in regulated financial environments, Hands-on use of AI tools for building prototypes and workflows 📃 Skills: AI, MachineLearning, Automation, ProductManagement, DataAnalysis, Prototyping, Compliance, FinTech, Cursor, Copilot, Claude, Replit 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role: Financial institutions are full of operational pain points that haven't been meaningfully addressed in decades. Manual workflows, legacy tools, and inefficiency cost the industry billions. Your job is to go deep into how these institutions actually operate, identify the highest-impact friction points, and build AI-native solutions that fundamentally change the way things work. This isn't about wrapping AI around broken processes. It's about reimagining how these workflows should function when AI is the starting point. This is a domain-expert, permanent role (not a rotation) because customer relationships and regulatory knowledge compound over time. Your expertise is the moat. Key Responsibilities Discover and validate the highest-value operational pain points at financial institutions through deep customer engagement Design and build AI-native solutions from scratch: not incremental improvements to legacy workflows, but fundamentally new approaches Own the full product lifecycle: discovery, validation, build, launch, and iteration for each solution you bring to market Be the customer-facing domain expert: spend time with FI operations teams, understand their workflows at a granular level, and translate pain into product Define outcome-based value narratives for enterprise buyers: prove ROI in terms that CFOs and operations leaders care about Navigate regulatory complexity as a first-class product constraint: financial operations are heavily regulated, and compliance shapes the product, not the other way around Partner with platform teams to leverage shared AI infrastructure and capabilities Required Qualifications 5+ years in product management Experience in financial services operations you've worked in or built products for the operational side of financial institutions (not just consumer-facing apps) Built products where the user is an operations, risk, or compliance professional you understand back-office workflows at a granular level Experience defining ROI-driven narratives for enterprise buyers: you sell business outcomes, not feature lists Comfortable being the domain expert who educates engineering teams and peer PMs on industry nuance Strong discovery instincts you know how to find the real pain points, not just the ones customers articulate AI-native workflow: You build with AI daily — analyzing data, building prototypes, generating regulatory summaries, automating repetitive research. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building Preferred Skills Working knowledge of financial operations regulations (collections, fraud, compliance, lending): highly valued but learnable for candidates with adjacent financial services experience Financial institution experience Built AI-powered automation for back-office or operations workflows Experience with outcome-based or performance-based pricing models Experience identifying and validating new product opportunities through customer discovery Who you are? You're the person who has sat with operations teams at financial institutions and watched how they actually work: the spreadsheets, the manual queues, the workarounds that exist because nobody built them a real tool. You see friction that others accept as normal, and you immediately start thinking about what an AI-native solution looks like. You understand regulated environments viscerally. You don't treat compliance as a checkbox, you treat it as a design constraint that makes the product better. You've built products where a regulatory misstep isn't just a bug; it's a lawsuit. You're customer-facing and credible. Operations leaders at financial institutions trust you because you speak their language and understand their world. You can present ROI to a CFO and workflow details to an operations manager in the same meeting. You build your own tools. You use AI to analyze operational data, prototype solution workflows, generate regulatory requirement maps, and accelerate every aspect of your domain work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You see AI as both the product you're building and the way you build it. Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work? Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. Compensation Base Salary is expected to be between $175,000 - $225,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. Benefits 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.
Technology

TrueFoundry
Forward Deployed Engineer - GTM
Mid
On-site
San Mateo, CA
🏢 Summary: Opportunity for a Forward Deployed Engineer (GTM) to lead the technical side of enterprise AI platform deals, owning discovery, architecture design, and proof-of-concept delivery for production-grade agentic AI systems. The role combines backend engineering, AI/ML expertise, and customer-facing technical leadership to drive successful adoption of an AI control plane and Kubernetes-based compute platform. You will shape production AI architectures, build integrations and workflows, and influence product direction based on field feedback. 🗂️ Requirements: 3–7 years of backend software engineering experience, Production systems ownership and delivery experience, Proficiency in Python, Go, or TypeScript, Experience with Kubernetes or major cloud platforms (AWS, Azure, or GCP), Hands-on experience with LLMs, agents, evals, or ML pipelines in production, Ability to lead architecture discussions with engineering stakeholders 📃 Skills: Python, Go, TypeScript, Kubernetes, AWS, Azure, GCP, LLM, LangChain, vLLM, SGLang, Triton, MCP, ML, MLOps 🏢 Description: About TrueFoundry Every production AI system whether it's powering customer support, writing code, analyzing financial data, or diagnosing medical conditions needs the same foundational infrastructure. A way to route between models. A way to manage tools and integrate them securely. A way to orchestrate agents and enforce governance. A unified compute layer to run it all. That infrastructure layer is being built right now. We're TrueFoundry, and we're building it. We're looking for a Forward Deployed Engineer- GTM to join the team. The Problem We're Solving Companies are moving beyond simple chatbots to production agentic systems. These systems route between OpenAI, Anthropic, Google, and self-hosted models. They integrate dozens of tools via protocols like MCP. They orchestrate multi-agent workflows where agents coordinate with other agents. The infrastructure to support this doesn't exist yet. You can't just duct-tape together a few API calls and call it production-ready. You need a control plane that handles: - Intelligent routing with observability, cost policies, and fallback logic - Centralized tool and MCP server management with security and lifecycle controls - Agent orchestration with governance and guardrails - A unified compute layer to run self-hosted models, custom tools, and agents We've built two products to solve this: AI Gateway is the control plane five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance. AI Deploy is the compute layer of Kubernetes-based platform that abstracts ML workloads as standard software primitives, so everything runs on unified infrastructure. We're Series A, backed by Intel Capital and Sequoia. Companies like CVS, Mastercard, Siemens, Paytm, Synopsys, and Zscaler run production AI workloads on our platform. What you'll do - Own the technical arc of the deal: discovery and the in-depth demo, the architecture discussion with the customer's engineering leaders, and the POC - all the way through to close. - Win the POC on technical merit: Co-define the success criteria with the customer, run the execution tracker and the milestones, and write the integration glue, agent workflows, and eval pipelines that prove value in their environment. The goal is delivered impact, not lines of code. - Make the architecture calls that decide how the customer would run AI in production. You are the technical decision-maker in the room - the CTO in the room - and the person their engineering leaders trust. - Be the technical face of TrueFoundry to enterprise customers, and earn the credibility that turns an evaluation into a signed contract. - Steer the product. You see, first-hand, what customers pull toward and where their first production win lands. Compile that field signal and bring structured, data-backed asks to TrueFoundry's engineering and product teams - your intuition helps shape the roadmap. Who we're looking for - Backend Engineering Experience: 3 to 7 years of backend software engineering experience with production systems you have shipped and owned. Strong in Python, Go, or TypeScript. Comfortable with Kubernetes or any major cloud (AWS, Azure, GCP). - Business Acumen: You don't just question the how but also the why - discovering impact, architecture design and deal-winning opportunities. - AI and ML literacy: You have worked with LLMs, agents, evals, or ML pipelines in production. Familiarity with the modern stack (vLLM, SGLang, LangChain, Triton, model serving) is a strong plus. - Design and Architecture: Comfortable leading an architecture discussion with a customer's engineering leaders, then doing the work yourself. High agency and a bias for action. We especially welcome founding engineers and CTOs of early-stage startups, as well as engineers from infrastructure, MLOps, and developer-tool companies. Growth path Engineering ladder: Senior FDSE to Staff or Principal FDSE, with named-account ownership and architectural authority at every level. Leadership ladder: Lead FDSE to Head of FDSE, building and running the function. Cross-functional: the role builds the breadth that leads to CTO, VP of Engineering, and founder paths. Many FDSE alumni have gone on to start their own companies.
Technology
Accenture
AI Engineer (Mid/Senior) (Open)
Mid
Hybrid
Warsaw, Poland
🏢 Summary: Technical leadership role focused on designing and delivering end-to-end AI/LLM/GenAI solutions, from discovery to production, for complex client use cases. The position involves building scalable AI-driven applications, leading architecture decisions, and mentoring engineers while integrating AI into full-stack products. The role combines hands-on development, research of state-of-the-art models, and ownership of AI project delivery in cloud environments. 🗂️ Requirements: Proficiency in Python or strong ability to transition to Python, Experience with AI/LLM/GenAI models and practical use cases, Hands-on experience with prompt engineering and API integration, Experience building AI-driven or full-stack applications using TypeScript, Cloud experience, primarily with Azure, Experience leading AI projects end-to-end from discovery to production, Knowledge of Agentive AI and multi-agent architectures, Experience with code quality reviews and TDD or MLOps, Experience working in Agile/Scrum environments 📃 Skills: Python, TypeScript, Azure, GCP, AWS, OpenAI, Anthropic, LangChain, FastAPI, PyTest, Docker, Terraform, TDD, MLOps, ChatGPT, Claude, Cursor 🏢 Description: WHO WE ARE Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song. At the Data & Applied Intelligence hub, we work locally and globally with over 250 Poland‑based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting‑edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. For more information about Accenture Technology Poland please visit our website: Poland | Let There Be Change | Accenture. THE WORK Lead technical initiatives in the AI/LLM/GenAI space, owning solution design and delivery for complex use cases. Design and build scalable AI‑driven prototypes and end‑to‑end solutions, from discovery and scoping to deployment and handover. Research and evaluate state‑of‑the‑art AI models, tools, and multi‑agent architectures, constantly seeking innovation and advancement . Translate client and business problems into AI solutions, driving business ownership, strategic planning, and active client interactions. Mentor and support junior engineers on a daily basis, fostering a culture of continuous learning and proactive skill enhancement . Collaborate with cross‑functional teams (development, design, consulting) to integrate AI capabilities into full‑stack applications and products. Support internal knowledge sharing, best practices, and contributions to reusable assets and standards. Work efficiently in a fast‑paced environment, embracing challenges as opportunities and being forward‑thinking and growth‑driven . Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office - depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. WHAT’S IN IT FOR YOU? Exposure to high‑impact AI projects for global clients, where you can expand your expertise in modern AI, LLMs, and multi‑agent solutions while working with diverse stakeholders. Real autonomy and influence over both technical architecture and product direction, with opportunities to become a go‑to AI expert and mentor for others. A dynamic environment grounded in a culture of feedback, clear career paths and skills‑based assessments, access to advanced tools, certifications and continuous learning opportunities to support your professional development. Qualifications HERE’S WHAT YOU’LL NEED Proficiency in Python, or strong skills in another language with willingness to transition to Python. Proficiency in using AI tools like ChatGPT, Cursor, Claude (including work with MCPs). Understanding of TypeScript and ability to build full‑stack applications. Cloud proficiency, primarily Azure. Strong knowledge of AI/LLM/GenAI models – their limitations, strengths, and practical use cases. Experience in prompt engineering, API integration, and building AI‑driven applications. Familiarity with Agentive AI concepts and multi‑agent architectures. Proven ability to scope and lead AI projects end‑to‑end (from discovery to production). Ability to communicate complex technical concepts to non‑technical stakeholders. Hands‑on experience in code quality reviews and at least one of the following: TDD, MLOps. Experience working in Agile/Scrum teams and contributing to planning and estimation. Our Tech Stack for this role includes: Languages: Python, TypeScript GenAI Providers: OpenAI, Anthropic, Azure OpenAI Frameworks & Tooling: LangChain, FastAPI, PyTest Cloud: Azure (primary), GCP, AWS DevOps & Infra: Docker, Terraform BONUS POINTS IF YOU HAVE Experience contributing to internal knowledge bases, open‑source projects, or tech communities. Strong understanding of business dynamics and a track record of turning client problems into AI‑driven solutions. Additional skills in DevOps or ML (e.g. model lifecycle, monitoring, experimentation). Experience with extra languages/frameworks such as Java, C#, C++, React, Angular or Flutter. Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application. WHAT WE OFFER? A permanent employment contract. Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach. A wide training package (soft, technical, and language training offer, access to e‑learning platforms, Gallup test, GenAI training, possibility of co‑financing courses, and certification). Employee Assistance Program – legal, financial, and psychological consultations. Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares. Paid employee referral program. Private medical care and life insurance. Access to the benefit platform (such as Worksmile/MyBenefit – including the Multisport card and a wide range of products and services). WHAT WE BELIEVE Accenture does not discriminate against employment candidates based on race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation, or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger, and more durable company for future generations to create positive, long‑lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as a partner to many of the world’s leading businesses, organizations, and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, and we embed it into everything we do and for everyone we work with.
Technology
New offer

Syllo
Engineering Manager
Senior
On-site
New York City, NY
189,996 - 230,004 USD/yr
🏢 Summary: Engineering Manager role leading and mentoring a remote engineering team building an AI-powered litigation platform. The position focuses on engineering process improvement, cross-functional collaboration with product teams, and staffing strategy while maintaining high software quality. Requires strong engineering management experience and hands-on software engineering knowledge in Python and Ruby. 🗂️ Requirements: 5+ years of engineering management experience, Experience leading teams of 5+ engineers, Proficiency in Python, Proficiency in Ruby, Knowledge of full software development lifecycle practices, Experience in fast-paced environments, Experience collaborating with product management teams, Strong communication and interpersonal skills 📃 Skills: Python, Ruby, Scrum, Testing, CodeReviews, SDLC 🏢 Description: About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We're looking for an Engineering Manager who will foster a collaborative, high-performing environment where engineers can grow, learn, and thrive. Responsibilities - Mentor, coach, and support the career growth of 8-10 engineers. - Conduct regular 1-on-1s, provide actionable feedback, and foster a culture of ownership and psychological safety. - Participate in personnel review, including shaping the performance review process and structure. - Improve engineering processes such as scrum meetings, code reviews, and testing to increase velocity without sacrificing quality. - Partner with Product Managers to translate roadmaps and designs into concrete execution plans. - Allocate work among engineers, monitor progress, and facilitate collaboration. - Work with the leadership team to define engineering staffing strategy and team structure. - Participate in hiring and recruiting. Qualifications - 5+ years of experience in engineering management, leading teams of 5 or more in a fast-paced environment, preferably remote. - Core software engineering skills, including proficiency in languages such as Python and Ruby. - Knowledge of engineering practices and patterns for the full software development lifecycle. - Comfortable with ambiguity and shifting priorities. - Excellent communication and interpersonal skills, able to engage effectively with both technical and non-technical stakeholders. - Experience partnering with product management teams. Benefits - Salary range: $190,000-$230,000 USD. - Health insurance. - Equity.