Accounts Consolidation and Reporting Manager

Job Title: Principal Automation Engineer (AI)

Deltek is seeking a Principal Automation Engineer with deep expertise in AI-native test automation to help shape the quality engineering foundation Deltek’s next-generation, AI-first ERP platform for project-based businesses. This is not a role for someone who automates feature regression. It is a role for someone who can harness AI tools to build intelligent automation frameworks that reason, adapt, and self-heal.

You will be the automation architect behind Deltek’s in-house AI-native test automation platform combining Playwright with LLM-powered agents (Planner, Generator, Healer). You will extend, evolve, and industrialize this framework, integrating AI tools at every layer: test generation, self-healing selectors, LLM-as-a-Judge evaluation, and CI/CD-gated quality pipelines.

If you are fluent in Playwright, agentic AI workflows, and modern test engineering — and want to build something genuinely new rather than maintain legacy frameworks — we invite you to join our team. ERP domain knowledge is a strong plus and will accelerate your impact.

Responsibilities:

Architect and evolve the AI-native automation framework — extending Playwright-based agents with LLM-powered planning, test generation, and self-healing capabilities.

Use AI tools extensively (Claude, GitHub Copilot, LLM APIs) to design, generate, and augment automation suites — reducing human authoring effort while increasing scenario coverage.

Build and maintain Playwright agent pipelines for end-to-end workflow automation across Deltek’s Projects, Workforce Management, and Financials modules.

Integrate LLM-as-a-Judge (LLMaaJ) evaluation into the test pipeline to automatically score AI-generated outputs, detect hallucinations, and validate response quality against golden datasets.

Design and implement AI safety and correctness test cases: hallucination detection, bias testing, output guardrail validation, and behavioral consistency across edge cases.

Own the CI/CD automation pipeline (GitHub Actions / Azure DevOps) for AI-enabled releases — including regression gates, model-response validation, and automated quality dashboards in ReportPortal and Grafana.

Validate AI/ML outputs including prediction accuracy, recommendation relevance, natural-language responses, and inference API payloads.

Build and maintain golden datasets for AI drift detection, regression baselines, and LLM evaluation benchmarks.

Collaborate with Product Managers, AI/ML Engineers, and QE leads to define AI feature release quality gates and automation coverage targets.

Mentor QE team members on AI-assisted automation patterns, agentic testing concepts, and framework best practices.

Contribute to test strategy for data migration validation of schema fidelity and record correctness.

Qualifications:

BS/MS degree in Computer Science, Software Engineering, or a related field.

Relevant certifications in software quality, AI/ML, or cloud engineering are advantageous.

Experience:

8+ years of experience in test automation engineering, with at least 3+ years working with AI/LLM-based systems or agentic automation frameworks.

Proven hands-on experience with Playwright — including Playwright agents, fixtures, and API testing integration.

Demonstrated experience using AI tools (Claude API, OpenAI, GitHub Copilot, or equivalent) to accelerate test authoring, framework design, or output evaluation.

Track record of designing and implementing AI-based automation solutions — not just using automation tools, but building the frameworks others use.

Experience integrating automation into CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps).

Experience with performance, scalability, or data-drift testing of AI features in production or pre-production ERP contexts.

ERP domain knowledge (Project Accounting, Financials, Payroll, Time & Expense) is a strong plus and will significantly accelerate onboarding and impact.

Good-to-Have Skills:

Familiarity with Ajera, Costpoint, Vantagepoint, or comparable project-based ERP systems.

Understanding of LLM fine-tuning, RAG pipelines, vector databases, and embeddings from a QA/validation perspective.

Experience building or working with self-healing automation frameworks or AIOps tooling.

Exposure to security testing for AI systems — prompt injection, output sanitization, guardrail bypass testing.

Familiarity with data privacy and compliance frameworks in AI-enabled enterprise software.

Technical Qualifications:

Deep, hands-on proficiency with Playwright — including agentic patterns, multi-step workflow automation, and integration with LLM backends.

Proficiency in TypeScript and/or Python for building automation frameworks, AI evaluation utilities, prompt-testing harnesses, and data-driven test pipelines.

Strong understanding of LLM/ML concepts from a QA perspective: prompt engineering, hallucination detection, output scoring, explainability validation, behavioral consistency testing.

Experience with REST and GraphQL API testing, including automated evaluation of LLM inference API payloads and AI-generated JSON responses.

Familiarity with ReportPortal, Grafana, or equivalent for test execution dashboards and quality metric visualization.

Strong SQL skills for data validation, training dataset verification, and ERP data pipeline testing.

Working knowledge of GitHub Actions and Azure DevOps (ADO/TFS) for CI/CD pipeline integration and issue tracking.

Good understanding of Agile/Scrum practices and AI model release cycles — shadow mode, A/B comparison, phased rollout validation.

Soft Skills:

Framework-builder mindset: thinks in systems, not scripts — builds what others use rather than executing what others built.

Strong communication skills: able to explain AI validation concepts clearly to engineers, product managers, and QE team members.

High ownership and self-direction: identifies automation gaps proactively and drives coverage improvements without waiting to be asked.

Collaborative and generous with knowledge: invests in mentoring team members and raising the team’s automation maturity.

Continuous learner: actively tracks the evolving AI tooling ecosystem and brings new techniques into the framework.

Able to manage multiple priorities in a fast-paced, distributed team environment.

Join Deltek and be at the forefront of how modern ERP quality engineering is done. You will help build the AI driven current automation framework into an industry-leading AI-native automation platform — combining Playwright agents, LLM-powered test generation, self-healing infrastructure, and intelligent quality gates.

What We Are Looking for in the Candidate

Experience Level

• 1.5 – 2.5 years of hands-on performance marketing experience
• Independently managed live Google & Meta ad accounts
• Experience working in a startup, SME, or agency environment preferred
• Has handled real campaign budgets (not just internship/demo accounts)

Google Ads Expertise (Primary Requirement)

• Strong experience in Search Ads
• Working knowledge of Display & Performance Max
• Experience with Remarketing campaigns
• Basic understanding of YouTube Ads
• Conducted keyword research independently
• Implemented negative keyword strategies
• Optimized bids (Manual CPC, Max Conversions, tCPA, tROAS)
• Monitored CPA, ROAS, CTR, Quality Score
• Managed and optimized campaign budgets regularly
• Set up and verified conversion tracking

 Meta Ads Expertise (Primary Requirement)

• Hands-on experience with Facebook & Instagram Ads
• Built full-funnel campaigns (Awareness to Conversion)
• Created Custom & Lookalike audiences
• Implemented retargeting strategies
• Installed and monitored Meta Pixel
• Optimized based on CPL, CAC, ROAS
• Improved campaign performance using data insights

Tracking & Analytics Knowledge

• Experience with Google Analytics
• Basic working knowledge of Google Tag Manager
• Understanding of conversion tracking setup
• Knowledge of attribution models
• Ability to read and interpret funnel metrics

 Performance Optimization Skills

• Daily campaign monitoring
• Budget allocation between campaigns
• Scaling profitable campaigns
• Pausing or restructuring low-performing ads
• Conducting A/B testing (creatives & copy)
• Identifying funnel drop-offs

 Reporting & Data Mindset

• Can prepare weekly performance reports
• Provides insights, not just numbers
• Makes data-driven decisions
• Comfortable explaining performance metrics clearly

Othor AI is revolutionizing business intelligence with an AI-native platform that transforms data into actionable insights in seconds, not months. We're building the future of decision-making tools, eliminating the complexity of traditional BI solutions like Tableau, Power BI, and Looker, and making data analytics accessible to everyone, no coding required. We have raised $80,000 in preseed and a seed round is in progress.

We're seeking an experienced Business Development Representative with a proven track record of selling AI/SaaS products to the US market. This is a high-impact role where you'll be instrumental in driving our growth, closing deals, and establishing Othor AI as a leader in the business intelligence space.

As a BDR, you'll work closely with our leadership team to penetrate the US market, build a robust sales pipeline, and convert prospects into long-term customers.

Sales & Revenue Generation:

1. Prospect and qualify leads in the US market (targeting CEOs, Finance, Marketing, and Sales teams)

2. Conduct high-impact product demonstrations showcasing Othor AI's value proposition

3. Own the full sales cycle from initial outreach to deal closure

4. Consistently meet and exceed monthly/quarterly sales targets

Pipeline & Relationship Management:

1. Build and maintain a healthy sales pipeline using CRM tools (HubSpot, Salesforce, etc.)

2. Nurture relationships with prospects and customers throughout the buyer journey

3. Conduct discovery calls to understand customer pain points and position solutions effectively

Market Strategy:

1. Develop and execute outbound sales strategies tailored to the US market

2. Analyze market trends, competitor positioning, and identify new opportunities

3. Provide feedback to product and marketing teams based on customer insights

Representation:

1. Represent Othor AI at virtual events, webinars, and industry conferences

2. Build Othor AI's presence in key professional networks and communities

REQUIRED:

- 1-2 years of experience in B2B SaaS sales, preferably selling AI or data analytics products

- Proven track record of selling to the US market and understanding US business culture

- Strong closing skills with demonstrated ability to meet/exceed sales quotas

- Excellent verbal and written communication skills (fluent English, US accent preferred)

- Experience with modern sales tools (CRM, LinkedIn Sales Navigator, outreach platforms)

- Self-motivated, resilient, and comfortable working in a fast-paced startup environment

- Availability to work US hours (at least partial overlap with EST/PST timezones)

BONUS POINTS:

- Experience selling to mid-market or enterprise customers

- Knowledge of business intelligence, data analytics, or BI tools landscape

- Background in tech sales or working with technical products

- Active LinkedIn presence with an established professional network

- Previous startup experience

Required Skills:

• Experience in systems administration, SRE or DevOps focused role
• Experience in handling production support (on-call)
• Good understanding of the Linux operating system and networking concepts.
• Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
• Experience with Docker containers and containerization concepts
• Experience with managing and scaling Kubernetes clusters in a production environment
• Experience building scalable infrastructure in AWS with Terraform.
• Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
• Experience monitoring production systems
• Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
• HAProxy, Nginx, SSH, MySQL configuration and operation experience
• Ability to work seamlessly with software developers, QA, project managers, and business development
• Ability to produce and maintain written documentation

Roles and Responsibilities 

Build database systems of high availability and quality depending on each end user’s specialised role

Design and implement database in accordance to end users information needs and views

Define users and enable data distribution to the right user, in appropriate format and in a timely manner

Use high-speed transaction recovery techniques and backup data

Minimise database downtime and manage parameters to provide fast query responses

Provide proactive and reactive data management support and training to users

Determine, enforce and document database policies, procedures and standards

Perform tests and evaluations regularly to ensure data security, privacy and integrity

Skills

Proven working experience as a Database Administrator

Hands-on experience with database standards and end user applications

Excellent knowledge of data backup, recovery, security, integrity and SQL

Familiarity with database design, documentation and coding

Previous experience with DBA case tools (frontend/backend) and third party tools

Problem solving skills and ability to think algorithmically

Degree in a computer discipline or relevant certification

Responsibilities:

• Delivering projects on time based on roadmap requirements
• Overriding technical architecture of the product
• Managing the Development Team including workloads, setting and managing targets, mentoring and training members of the team
• Writing technical specifications and managing projects through to completion
• Implementing and reviewing all development processes (coding standards, code review, code complexity)
• Identifying and resolving issues within the product
• Implementing and managing suitable monitoring systems for production platforms
• Monitoring costs across the AWS platform

Requirements:

• Be highly experienced in the following technologies: Java, Node Js, Typescript, React, SQL
• Show preferable experience in Android development, Kotlin, Mongo DB, MQTT
• Demonstrate fluent English speaking, reading, writing
• Excellent communication skills
• Have previous AWS Cloud experience
• Have experience in leading a Development Team, mentoring and training colleagues
• Demonstrate experience in managing projects through an agile environment, ideally Jira or Azure Devops

Key Job Purpose: Responsible for demand acquisition from all the channels in a specific zone

Key Tasks/Responsibilities:
1. Discovery of small medium enterprises/ traders within the region and building supply pipeline for all operating routes
2. Provide requisite support to the team in negotiation & closure
3. Conduct regular outreach through calls/ in - person meetings with clients and team
4. Achieve monthly targets
5. Build effective teams and manage productivity of team members to deliver the results
6. Engagement of customers during free trial

Incentive- Profit sharing on monthly sales achieved.